/** * tracking - A modern approach for Computer Vision on the web. * @author Eduardo Lundgren * @version v1.1.2 * @link http://trackingjs.com * @license BSD */ /* eslint-disable */ !function (t, r) { t.tracking = t.tracking || {}, tracking.inherits = function (t, r) { function n() { } n.prototype = r.prototype, t.superClass_ = r.prototype, t.prototype = new n, t.prototype.constructor = t, t.base = function (t, n) { var e = Array.prototype.slice.call(arguments, 2); return r.prototype[n].apply(t, e) } } , tracking.initUserMedia_ = function (r, n) { var option=n t.navigator.getUserMedia({ video: !0, audio: !(!n || !n.audio) }, function (n) { try { r.src = t.URL.createObjectURL(n) } catch (e) { r.src = n } r.srcObject = n if (option.vue && !option.vue.visible) { var tracks = n.getVideoTracks() tracks.length > 0 && (tracks.forEach(i => i.stop())) } }, function () { throw Error("Cannot capture user camera.") }) } , tracking.isNode = function (t) { return t.nodeType || this.isWindow(t) } , tracking.isWindow = function (t) { return !!(t && t.alert && t.document) } , tracking.one = function (t, r) { return this.isNode(t) ? t : (r || document).querySelector(t) } , tracking.track = function (t, r, n) { if (t = tracking.one(t), !t) throw new Error("Element not found, try a different element or selector."); if (!r) throw new Error("Tracker not specified, try `tracking.track(element, new tracking.FaceTracker())`."); switch (t.nodeName.toLowerCase()) { case "canvas": return this.trackCanvas_(t, r, n); case "img": return this.trackImg_(t, r, n); case "video": return n && n.camera && this.initUserMedia_(t, n), this.trackVideo_(t, r, n); default: throw new Error("Element not supported, try in a canvas, img, or video.") } } , tracking.trackCanvas_ = function (t, r) { var n = this , e = new tracking.TrackerTask(r); return e.on("run", function () { n.trackCanvasInternal_(t, r) }), e.run() } , tracking.trackCanvasInternal_ = function (t, r) { var n = t.width , e = t.height , i = t.getContext("2d") , a = i.getImageData(0, 0, n, e); r.track(a.data, n, e) } , tracking.trackImg_ = function (t, r) { var n = t.width , e = t.height , i = document.createElement("canvas"); i.width = n, i.height = e; var a = new tracking.TrackerTask(r); return a.on("run", function () { tracking.Canvas.loadImage(i, t.src, 0, 0, n, e, function () { tracking.trackCanvasInternal_(i, r) }) }), a.run() } , tracking.trackVideo_ = function (r, n) { var e, i, a = document.createElement("canvas"), o = a.getContext("2d"), c = function () { e = r.offsetWidth, i = r.offsetHeight, a.width = e, a.height = i }; c(), r.addEventListener("resize", c); var s, stopRequestAnimationFrame = false, g = function () { if (stopRequestAnimationFrame) return; s = t.requestAnimationFrame(function () { if (r.readyState === r.HAVE_ENOUGH_DATA) { try { o.drawImage(r, 0, 0, e, i) } catch (t) { } tracking.trackCanvasInternal_(a, n) } g() }) }, h = new tracking.TrackerTask(n); return h.on("stop", function () { stopRequestAnimationFrame = true; t.cancelAnimationFrame(s) }), h.on("run", function () { g() }), h.run() } , t.URL || (t.URL = t.URL || t.webkitURL || t.msURL || t.oURL), navigator.getUserMedia || (navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia) }(window), function () { tracking.EventEmitter = function () { } , tracking.EventEmitter.prototype.events_ = null, tracking.EventEmitter.prototype.addListener = function (t, r) { if ("function" != typeof r) throw new TypeError("Listener must be a function"); return this.events_ || (this.events_ = {}), this.emit("newListener", t, r), this.events_[t] || (this.events_[t] = []), this.events_[t].push(r), this } , tracking.EventEmitter.prototype.listeners = function (t) { return this.events_ && this.events_[t] } , tracking.EventEmitter.prototype.emit = function (t) { var r = this.listeners(t); if (r) { for (var n = Array.prototype.slice.call(arguments, 1), e = 0; e < r.length; e++) r[e] && r[e].apply(this, n); return !0 } return !1 } , tracking.EventEmitter.prototype.on = tracking.EventEmitter.prototype.addListener, tracking.EventEmitter.prototype.once = function (t, r) { var n = this; n.on(t, function e() { n.removeListener(t, e), r.apply(this, arguments) }) } , tracking.EventEmitter.prototype.removeAllListeners = function (t) { return this.events_ ? (t ? delete this.events_[t] : delete this.events_, this) : this } , tracking.EventEmitter.prototype.removeListener = function (t, r) { if ("function" != typeof r) throw new TypeError("Listener must be a function"); if (!this.events_) return this; var n = this.listeners(t); if (Array.isArray(n)) { var e = n.indexOf(r); if (0 > e) return this; n.splice(e, 1) } return this } , tracking.EventEmitter.prototype.setMaxListeners = function () { throw new Error("Not implemented") } }(), function () { tracking.Canvas = {}, tracking.Canvas.loadImage = function (t, r, n, e, i, a, o) { var c = this , s = new window.Image; s.crossOrigin = "*", s.onload = function () { var r = t.getContext("2d"); t.width = i, t.height = a, r.drawImage(s, n, e, i, a), o && o.call(c), s = null } , s.src = r } }(), function () { tracking.DisjointSet = function (t) { if (void 0 === t) throw new Error("DisjointSet length not specified."); this.length = t, this.parent = new Uint32Array(t); for (var r = 0; t > r; r++) this.parent[r] = r } , tracking.DisjointSet.prototype.length = null, tracking.DisjointSet.prototype.parent = null, tracking.DisjointSet.prototype.find = function (t) { return this.parent[t] === t ? t : this.parent[t] = this.find(this.parent[t]) } , tracking.DisjointSet.prototype.union = function (t, r) { var n = this.find(t) , e = this.find(r); this.parent[n] = e } }(), function () { tracking.Image = {}, tracking.Image.blur = function (t, r, n, e) { if (e = Math.abs(e), 1 >= e) throw new Error("Diameter should be greater than 1."); for (var i = e / 2, a = Math.ceil(e) + (1 - Math.ceil(e) % 2), o = new Float32Array(a), c = (i + .5) / 3, s = c * c, g = 1 / Math.sqrt(2 * Math.PI * s), h = -1 / (2 * c * c), k = 0, u = Math.floor(a / 2), f = 0; a > f; f++) { var l = f - u , p = g * Math.exp(l * l * h); o[f] = p, k += p } for (var v = 0; v < o.length; v++) o[v] /= k; return this.separableConvolve(t, r, n, o, o, !1) } , tracking.Image.computeIntegralImage = function (t, r, n, e, i, a, o) { if (arguments.length < 4) throw new Error("You should specify at least one output array in the order: sum, square, tilted, sobel."); var c; o && (c = tracking.Image.sobel(t, r, n)); for (var s = 0; n > s; s++) for (var g = 0; r > g; g++) { var h = s * r * 4 + 4 * g , k = ~~(.299 * t[h] + .587 * t[h + 1] + .114 * t[h + 2]); if (e && this.computePixelValueSAT_(e, r, s, g, k), i && this.computePixelValueSAT_(i, r, s, g, k * k), a) { var u = h - 4 * r , f = ~~(.299 * t[u] + .587 * t[u + 1] + .114 * t[u + 2]); this.computePixelValueRSAT_(a, r, s, g, k, f || 0) } o && this.computePixelValueSAT_(o, r, s, g, c[h]) } } , tracking.Image.computePixelValueRSAT_ = function (t, r, n, e, i, a) { var o = n * r + e; t[o] = (t[o - r - 1] || 0) + (t[o - r + 1] || 0) - (t[o - r - r] || 0) + i + a } , tracking.Image.computePixelValueSAT_ = function (t, r, n, e, i) { var a = n * r + e; t[a] = (t[a - r] || 0) + (t[a - 1] || 0) + i - (t[a - r - 1] || 0) } , tracking.Image.grayscale = function (t, r, n, e) { for (var i = new Uint8ClampedArray(e ? t.length : t.length >> 2), a = 0, o = 0, c = 0; n > c; c++) for (var s = 0; r > s; s++) { var g = .299 * t[o] + .587 * t[o + 1] + .114 * t[o + 2]; i[a++] = g, e && (i[a++] = g, i[a++] = g, i[a++] = t[o + 3]), o += 4 } return i } , tracking.Image.horizontalConvolve = function (t, r, n, e, i) { for (var a = e.length, o = Math.floor(a / 2), c = new Float32Array(r * n * 4), s = i ? 1 : 0, g = 0; n > g; g++) for (var h = 0; r > h; h++) { for (var k = g, u = h, f = 4 * (g * r + h), l = 0, p = 0, v = 0, m = 0, y = 0; a > y; y++) { var d = k , w = Math.min(r - 1, Math.max(0, u + y - o)) , T = 4 * (d * r + w) , C = e[y]; l += t[T] * C, p += t[T + 1] * C, v += t[T + 2] * C, m += t[T + 3] * C } c[f] = l, c[f + 1] = p, c[f + 2] = v, c[f + 3] = m + s * (255 - m) } return c } , tracking.Image.verticalConvolve = function (t, r, n, e, i) { for (var a = e.length, o = Math.floor(a / 2), c = new Float32Array(r * n * 4), s = i ? 1 : 0, g = 0; n > g; g++) for (var h = 0; r > h; h++) { for (var k = g, u = h, f = 4 * (g * r + h), l = 0, p = 0, v = 0, m = 0, y = 0; a > y; y++) { var d = Math.min(n - 1, Math.max(0, k + y - o)) , w = u , T = 4 * (d * r + w) , C = e[y]; l += t[T] * C, p += t[T + 1] * C, v += t[T + 2] * C, m += t[T + 3] * C } c[f] = l, c[f + 1] = p, c[f + 2] = v, c[f + 3] = m + s * (255 - m) } return c } , tracking.Image.separableConvolve = function (t, r, n, e, i, a) { var o = this.verticalConvolve(t, r, n, i, a); return this.horizontalConvolve(o, r, n, e, a) } , tracking.Image.sobel = function (t, r, n) { t = this.grayscale(t, r, n, !0); for (var e = new Float32Array(r * n * 4), i = new Float32Array([-1, 0, 1]), a = new Float32Array([1, 2, 1]), o = this.separableConvolve(t, r, n, i, a), c = this.separableConvolve(t, r, n, a, i), s = 0; s < e.length; s += 4) { var g = o[s] , h = c[s] , k = Math.sqrt(h * h + g * g); e[s] = k, e[s + 1] = k, e[s + 2] = k, e[s + 3] = 255 } return e } }(), function () { tracking.ViolaJones = {}, tracking.ViolaJones.REGIONS_OVERLAP = .5, tracking.ViolaJones.classifiers = {}, tracking.ViolaJones.detect = function (t, r, n, e, i, a, o, c) { var s, g = 0, h = [], k = new Int32Array(r * n), u = new Int32Array(r * n), f = new Int32Array(r * n); o > 0 && (s = new Int32Array(r * n)), tracking.Image.computeIntegralImage(t, r, n, k, u, f, s); for (var l = c[0], p = c[1], v = e * i, m = v * l | 0, y = v * p | 0; r > m && n > y;) { for (var d = v * a + .5 | 0, w = 0; n - y > w; w += d) for (var T = 0; r - m > T; T += d) o > 0 && this.isTriviallyExcluded(o, s, w, T, r, m, y) || this.evalStages_(c, k, u, f, w, T, r, m, y, v) && (h[g++] = { width: m, height: y, x: T, y: w }); v *= i, m = v * l | 0, y = v * p | 0 } return this.mergeRectangles_(h) } , tracking.ViolaJones.isTriviallyExcluded = function (t, r, n, e, i, a, o) { var c = n * i + e , s = c + a , g = c + o * i , h = g + a , k = (r[c] - r[s] - r[g] + r[h]) / (a * o * 255); return t > k ? !0 : !1 } , tracking.ViolaJones.evalStages_ = function (t, r, n, e, i, a, o, c, s, g) { var h = 1 / (c * s) , k = i * o + a , u = k + c , f = k + s * o , l = f + c , p = (r[k] - r[u] - r[f] + r[l]) * h , v = (n[k] - n[u] - n[f] + n[l]) * h - p * p , m = 1; v > 0 && (m = Math.sqrt(v)); for (var y = t.length, d = 2; y > d;) { for (var w = 0, T = t[d++], C = t[d++]; C--;) { for (var _ = 0, E = t[d++], M = t[d++], x = 0; M > x; x++) { var I, b, O, A, S = a + t[d++] * g + .5 | 0, D = i + t[d++] * g + .5 | 0, R = t[d++] * g + .5 | 0, j = t[d++] * g + .5 | 0, F = t[d++]; E ? (I = S - j + R + (D + R + j - 1) * o, b = S + (D - 1) * o, O = S - j + (D + j - 1) * o, A = S + R + (D + R - 1) * o, _ += (e[I] + e[b] - e[O] - e[A]) * F) : (I = D * o + S, b = I + R, O = I + j * o, A = O + R, _ += (r[I] - r[b] - r[O] + r[A]) * F) } var L = t[d++] , V = t[d++] , U = t[d++]; w += L * m > _ * h ? V : U } if (T > w) return !1 } return !0 } , tracking.ViolaJones.mergeRectangles_ = function (t) { for (var r = new tracking.DisjointSet(t.length), n = 0; n < t.length; n++) for (var e = t[n], i = 0; i < t.length; i++) { var a = t[i]; if (tracking.Math.intersectRect(e.x, e.y, e.x + e.width, e.y + e.height, a.x, a.y, a.x + a.width, a.y + a.height)) { var o = Math.max(e.x, a.x) , c = Math.max(e.y, a.y) , s = Math.min(e.x + e.width, a.x + a.width) , g = Math.min(e.y + e.height, a.y + a.height) , h = (o - s) * (c - g) , k = e.width * e.height , u = a.width * a.height; h / (k * (k / u)) >= this.REGIONS_OVERLAP && h / (u * (k / u)) >= this.REGIONS_OVERLAP && r.union(n, i) } } for (var f = {}, l = 0; l < r.length; l++) { var p = r.find(l); f[p] ? (f[p].total++ , f[p].width += t[l].width, f[p].height += t[l].height, f[p].x += t[l].x, f[p].y += t[l].y) : f[p] = { total: 1, width: t[l].width, height: t[l].height, x: t[l].x, y: t[l].y } } var v = []; return Object.keys(f).forEach(function (t) { var r = f[t]; v.push({ total: r.total, width: r.width / r.total + .5 | 0, height: r.height / r.total + .5 | 0, x: r.x / r.total + .5 | 0, y: r.y / r.total + .5 | 0 }) }), v } }(), function () { tracking.Brief = {}, tracking.Brief.N = 512, tracking.Brief.randomImageOffsets_ = {}, tracking.Brief.randomWindowOffsets_ = null, tracking.Brief.getDescriptors = function (t, r, n) { for (var e = new Int32Array((n.length >> 1) * (this.N >> 5)), i = 0, a = this.getRandomOffsets_(r), o = 0, c = 0; c < n.length; c += 2) for (var s = r * n[c + 1] + n[c], g = 0, h = 0, k = this.N; k > h; h++) t[a[g++] + s] < t[a[g++] + s] && (i |= 1 << (31 & h)), h + 1 & 31 || (e[o++] = i, i = 0); return e } , tracking.Brief.match = function (t, r, n, e) { for (var i = t.length >> 1, a = n.length >> 1, o = new Array(i), c = 0; i > c; c++) { for (var s = 1 / 0, g = 0, h = 0; a > h; h++) { for (var k = 0, u = 0, f = this.N >> 5; f > u; u++) k += tracking.Math.hammingWeight(r[c * f + u] ^ e[h * f + u]); s > k && (s = k, g = h) } o[c] = { index1: c, index2: g, keypoint1: [t[2 * c], t[2 * c + 1]], keypoint2: [n[2 * g], n[2 * g + 1]], confidence: 1 - s / this.N } } return o } , tracking.Brief.reciprocalMatch = function (t, r, n, e) { var i = []; if (0 === t.length || 0 === n.length) return i; for (var a = tracking.Brief.match(t, r, n, e), o = tracking.Brief.match(n, e, t, r), c = 0; c < a.length; c++) o[a[c].index2].index2 === c && i.push(a[c]); return i } , tracking.Brief.getRandomOffsets_ = function (t) { if (!this.randomWindowOffsets_) { for (var r = 0, n = new Int32Array(4 * this.N), e = 0; e < this.N; e++) n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)), n[r++] = Math.round(tracking.Math.uniformRandom(-15, 16)); this.randomWindowOffsets_ = n } if (!this.randomImageOffsets_[t]) { for (var i = 0, a = new Int32Array(2 * this.N), o = 0; o < this.N; o++) a[i++] = this.randomWindowOffsets_[4 * o] * t + this.randomWindowOffsets_[4 * o + 1], a[i++] = this.randomWindowOffsets_[4 * o + 2] * t + this.randomWindowOffsets_[4 * o + 3]; this.randomImageOffsets_[t] = a } return this.randomImageOffsets_[t] } }(), function () { tracking.Fast = {}, tracking.Fast.THRESHOLD = 40, tracking.Fast.circles_ = {}, tracking.Fast.findCorners = function (t, r, n, e) { var i = this.getCircleOffsets_(r) , a = new Int32Array(16) , o = []; void 0 === e && (e = this.THRESHOLD); for (var c = 3; n - 3 > c; c++) for (var s = 3; r - 3 > s; s++) { for (var g = c * r + s, h = t[g], k = 0; 16 > k; k++) a[k] = t[g + i[k]]; this.isCorner(h, a, e) && (o.push(s, c), s += 3) } return o } , tracking.Fast.isBrighter = function (t, r, n) { return t - r > n } , tracking.Fast.isCorner = function (t, r, n) { if (this.isTriviallyExcluded(r, t, n)) return !1; for (var e = 0; 16 > e; e++) { for (var i = !0, a = !0, o = 0; 9 > o; o++) { var c = r[e + o & 15]; if (!this.isBrighter(t, c, n) && (a = !1, i === !1)) break; if (!this.isDarker(t, c, n) && (i = !1, a === !1)) break } if (a || i) return !0 } return !1 } , tracking.Fast.isDarker = function (t, r, n) { return r - t > n } , tracking.Fast.isTriviallyExcluded = function (t, r, n) { var e = 0 , i = t[8] , a = t[12] , o = t[4] , c = t[0]; return this.isBrighter(c, r, n) && e++ , this.isBrighter(o, r, n) && e++ , this.isBrighter(i, r, n) && e++ , this.isBrighter(a, r, n) && e++ , 3 > e && (e = 0, this.isDarker(c, r, n) && e++ , this.isDarker(o, r, n) && e++ , this.isDarker(i, r, n) && e++ , this.isDarker(a, r, n) && e++ , 3 > e) ? !0 : !1 } , tracking.Fast.getCircleOffsets_ = function (t) { if (this.circles_[t]) return this.circles_[t]; var r = new Int32Array(16); return r[0] = -t - t - t, r[1] = r[0] + 1, r[2] = r[1] + t + 1, r[3] = r[2] + t + 1, r[4] = r[3] + t, r[5] = r[4] + t, r[6] = r[5] + t - 1, r[7] = r[6] + t - 1, r[8] = r[7] - 1, r[9] = r[8] - 1, r[10] = r[9] - t - 1, r[11] = r[10] - t - 1, r[12] = r[11] - t, r[13] = r[12] - t, r[14] = r[13] - t + 1, r[15] = r[14] - t + 1, this.circles_[t] = r, r } }(), function () { tracking.Math = {}, tracking.Math.distance = function (t, r, n, e) { var i = n - t , a = e - r; return Math.sqrt(i * i + a * a) } , tracking.Math.hammingWeight = function (t) { return t -= t >> 1 & 1431655765, t = (858993459 & t) + (t >> 2 & 858993459), 16843009 * (t + (t >> 4) & 252645135) >> 24 } , tracking.Math.uniformRandom = function (t, r) { return t + Math.random() * (r - t) } , tracking.Math.intersectRect = function (t, r, n, e, i, a, o, c) { return !(i > n || t > o || a > e || r > c) } }(), function () { tracking.Matrix = {}, tracking.Matrix.forEach = function (t, r, n, e, i) { i = i || 1; for (var a = 0; n > a; a += i) for (var o = 0; r > o; o += i) { var c = a * r * 4 + 4 * o; e.call(this, t[c], t[c + 1], t[c + 2], t[c + 3], c, a, o) } } }(), function () { tracking.EPnP = {}, tracking.EPnP.solve = function (t, r, n) { } }(), function () { tracking.Tracker = function () { tracking.Tracker.base(this, "constructor") } , tracking.inherits(tracking.Tracker, tracking.EventEmitter), tracking.Tracker.prototype.track = function () { } }(), function () { tracking.TrackerTask = function (t) { if (tracking.TrackerTask.base(this, "constructor"), !t) throw new Error("Tracker instance not specified."); this.setTracker(t) } , tracking.inherits(tracking.TrackerTask, tracking.EventEmitter), tracking.TrackerTask.prototype.tracker_ = null, tracking.TrackerTask.prototype.running_ = !1, tracking.TrackerTask.prototype.getTracker = function () { return this.tracker_ } , tracking.TrackerTask.prototype.inRunning = function () { return this.running_ } , tracking.TrackerTask.prototype.setRunning = function (t) { this.running_ = t } , tracking.TrackerTask.prototype.setTracker = function (t) { this.tracker_ = t } , tracking.TrackerTask.prototype.run = function () { var t = this; if (!this.inRunning()) return this.setRunning(!0), this.reemitTrackEvent_ = function (r) { t.emit("track", r) } , this.tracker_.on("track", this.reemitTrackEvent_), this.emit("run"), this } , tracking.TrackerTask.prototype.stop = function () { return this.inRunning() ? (this.setRunning(!1), this.emit("stop"), this.tracker_.removeListener("track", this.reemitTrackEvent_), this) : void 0 } }(), function () { tracking.ColorTracker = function (t) { tracking.ColorTracker.base(this, "constructor"), "string" == typeof t && (t = [t]), t && (t.forEach(function (t) { if (!tracking.ColorTracker.getColor(t)) throw new Error('Color not valid, try `new tracking.ColorTracker("magenta")`.') }), this.setColors(t)) } , tracking.inherits(tracking.ColorTracker, tracking.Tracker), tracking.ColorTracker.knownColors_ = {}, tracking.ColorTracker.neighbours_ = {}, tracking.ColorTracker.registerColor = function (t, r) { tracking.ColorTracker.knownColors_[t] = r } , tracking.ColorTracker.getColor = function (t) { return tracking.ColorTracker.knownColors_[t] } , tracking.ColorTracker.prototype.colors = ["magenta"], tracking.ColorTracker.prototype.minDimension = 20, tracking.ColorTracker.prototype.maxDimension = 1 / 0, tracking.ColorTracker.prototype.minGroupSize = 30, tracking.ColorTracker.prototype.calculateDimensions_ = function (t, r) { for (var n = -1, e = -1, i = 1 / 0, a = 1 / 0, o = 0; r > o; o += 2) { var c = t[o] , s = t[o + 1]; i > c && (i = c), c > n && (n = c), a > s && (a = s), s > e && (e = s) } return { width: n - i, height: e - a, x: i, y: a } } , tracking.ColorTracker.prototype.getColors = function () { return this.colors } , tracking.ColorTracker.prototype.getMinDimension = function () { return this.minDimension } , tracking.ColorTracker.prototype.getMaxDimension = function () { return this.maxDimension } , tracking.ColorTracker.prototype.getMinGroupSize = function () { return this.minGroupSize } , tracking.ColorTracker.prototype.getNeighboursForWidth_ = function (t) { if (tracking.ColorTracker.neighbours_[t]) return tracking.ColorTracker.neighbours_[t]; var r = new Int32Array(8); return r[0] = 4 * -t, r[1] = 4 * -t + 4, r[2] = 4, r[3] = 4 * t + 4, r[4] = 4 * t, r[5] = 4 * t - 4, r[6] = -4, r[7] = 4 * -t - 4, tracking.ColorTracker.neighbours_[t] = r, r } , tracking.ColorTracker.prototype.mergeRectangles_ = function (t) { for (var r, n = [], e = this.getMinDimension(), i = this.getMaxDimension(), a = 0; a < t.length; a++) { var o = t[a]; r = !0; for (var c = a + 1; c < t.length; c++) { var s = t[c]; if (tracking.Math.intersectRect(o.x, o.y, o.x + o.width, o.y + o.height, s.x, s.y, s.x + s.width, s.y + s.height)) { r = !1; var g = Math.min(o.x, s.x) , h = Math.min(o.y, s.y) , k = Math.max(o.x + o.width, s.x + s.width) , u = Math.max(o.y + o.height, s.y + s.height); s.height = u - h, s.width = k - g, s.x = g, s.y = h; break } } r && o.width >= e && o.height >= e && o.width <= i && o.height <= i && n.push(o) } return n } , tracking.ColorTracker.prototype.setColors = function (t) { this.colors = t } , tracking.ColorTracker.prototype.setMinDimension = function (t) { this.minDimension = t } , tracking.ColorTracker.prototype.setMaxDimension = function (t) { this.maxDimension = t } , tracking.ColorTracker.prototype.setMinGroupSize = function (t) { this.minGroupSize = t } , tracking.ColorTracker.prototype.track = function (t, r, n) { var e = this , i = this.getColors(); if (!i) throw new Error('Colors not specified, try `new tracking.ColorTracker("magenta")`.'); var a = []; i.forEach(function (i) { a = a.concat(e.trackColor_(t, r, n, i)) }), this.emit("track", { data: a }) } , tracking.ColorTracker.prototype.trackColor_ = function (n, e, i, a) { var o, c, s, g, h, k = tracking.ColorTracker.knownColors_[a], u = new Int32Array(n.length >> 2), f = new Int8Array(n.length), l = this.getMinGroupSize(), p = this.getNeighboursForWidth_(e), v = new Int32Array(n.length), m = [], y = -4; if (!k) return m; for (var d = 0; i > d; d++) for (var w = 0; e > w; w++) if (y += 4, !f[y]) { for (o = 0, h = -1, v[++h] = y, v[++h] = d, v[++h] = w, f[y] = 1; h >= 0;) if (s = v[h--], c = v[h--], g = v[h--], k(n[g], n[g + 1], n[g + 2], n[g + 3], g, c, s)) { u[o++] = s, u[o++] = c; for (var T = 0; T < p.length; T++) { var C = g + p[T] , _ = c + t[T] , E = s + r[T]; !f[C] && _ >= 0 && i > _ && E >= 0 && e > E && (v[++h] = C, v[++h] = _, v[++h] = E, f[C] = 1) } } if (o >= l) { var M = this.calculateDimensions_(u, o); M && (M.color = a, m.push(M)) } } return this.mergeRectangles_(m) } , tracking.ColorTracker.registerColor("cyan", function (t, r, n) { var e = 50 , i = 70 , a = t - 0 , o = r - 255 , c = n - 255; return r - t >= e && n - t >= i ? !0 : 6400 > a * a + o * o + c * c }), tracking.ColorTracker.registerColor("magenta", function (t, r, n) { var e = 50 , i = t - 255 , a = r - 0 , o = n - 255; return t - r >= e && n - r >= e ? !0 : 19600 > i * i + a * a + o * o }), tracking.ColorTracker.registerColor("yellow", function (t, r, n) { var e = 50 , i = t - 255 , a = r - 255 , o = n - 0; return t - n >= e && r - n >= e ? !0 : 1e4 > i * i + a * a + o * o }); var t = new Int32Array([-1, -1, 0, 1, 1, 1, 0, -1]) , r = new Int32Array([0, 1, 1, 1, 0, -1, -1, -1]) }(), function () { tracking.ObjectTracker = function (t) { tracking.ObjectTracker.base(this, "constructor"), t && (Array.isArray(t) || (t = [t]), Array.isArray(t) && t.forEach(function (r, n) { if ("string" == typeof r && (t[n] = tracking.ViolaJones.classifiers[r]), !t[n]) throw new Error('Object classifier not valid, try `new tracking.ObjectTracker("face")`.') })), this.setClassifiers(t) } , tracking.inherits(tracking.ObjectTracker, tracking.Tracker), tracking.ObjectTracker.prototype.edgesDensity = .2, tracking.ObjectTracker.prototype.initialScale = 1, tracking.ObjectTracker.prototype.scaleFactor = 1.25, tracking.ObjectTracker.prototype.stepSize = 1.5, tracking.ObjectTracker.prototype.getClassifiers = function () { return this.classifiers } , tracking.ObjectTracker.prototype.getEdgesDensity = function () { return this.edgesDensity } , tracking.ObjectTracker.prototype.getInitialScale = function () { return this.initialScale } , tracking.ObjectTracker.prototype.getScaleFactor = function () { return this.scaleFactor } , tracking.ObjectTracker.prototype.getStepSize = function () { return this.stepSize } , tracking.ObjectTracker.prototype.track = function (t, r, n) { var e = this , i = this.getClassifiers(); if (!i) throw new Error('Object classifier not specified, try `new tracking.ObjectTracker("face")`.'); var a = []; i.forEach(function (i) { a = a.concat(tracking.ViolaJones.detect(t, r, n, e.getInitialScale(), e.getScaleFactor(), e.getStepSize(), e.getEdgesDensity(), i)) }), this.emit("track", { data: a }) } , tracking.ObjectTracker.prototype.setClassifiers = function (t) { this.classifiers = t } , tracking.ObjectTracker.prototype.setEdgesDensity = function (t) { this.edgesDensity = t } , tracking.ObjectTracker.prototype.setInitialScale = function (t) { this.initialScale = t } , tracking.ObjectTracker.prototype.setScaleFactor = function (t) { this.scaleFactor = t } , tracking.ObjectTracker.prototype.setStepSize = function (t) { this.stepSize = t } }();