System and method for automatic person counting and detection of specific events
First Claim
1. A method for counting at least one individual in a crowd comprising the steps of:
- (i) calibrating an image capturing device and an image processing device;
(ii) capturing a flame of an image with the image capturing device;
the image processing device performing the steps comprising;
(iii) drawing a virtual gate through the image;
(iv) applying a foreground estimation module to the image;
(v) applying a tracking module to the image;
(vi) applying a crowd segmentation module to the image to separate the individual from the crowd;
(vii) counting the individual;
wherein the crowd segmentation module in step (v) comprises the steps of(i) identifying at least one low level image feature;
(ii) hypothesizing at least one clique from the low level image features; and
(iii) constraining the clique according to a geometric shape model;
wherein the constraining of step (iii) comprises;
(iv) assigning each low level image feature to a single clique;
(v) establishing future assignments according to an assignment vector based on a likelihood function;
wherein the likelihood function is a free energy equation.
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Abstract
A system for detecting and counting individuals in a stationary or moving crowd based on a digital or digitized image captured from a single camera. Initial information is assumed based on a foot-to-head plane homology, where a geometric construct is developed to best enclose image features with a high probability of being an individual within a crowd. These geometric constructs are then subjected to further probabilistic analysis to determine individuals. The vector track of each individual is determined to validate the determination of a group of features as individuals, thereby compensating for occlusion of an individual within any given frame image. A virtual gate is then employed to count the individuals moving past the virtual gate. Also, by weighting portions of the individual, events near the gate can be predicted.
79 Citations
5 Claims
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1. A method for counting at least one individual in a crowd comprising the steps of:
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(i) calibrating an image capturing device and an image processing device; (ii) capturing a flame of an image with the image capturing device; the image processing device performing the steps comprising; (iii) drawing a virtual gate through the image; (iv) applying a foreground estimation module to the image; (v) applying a tracking module to the image; (vi) applying a crowd segmentation module to the image to separate the individual from the crowd; (vii) counting the individual; wherein the crowd segmentation module in step (v) comprises the steps of (i) identifying at least one low level image feature; (ii) hypothesizing at least one clique from the low level image features; and (iii) constraining the clique according to a geometric shape model; wherein the constraining of step (iii) comprises; (iv) assigning each low level image feature to a single clique; (v) establishing future assignments according to an assignment vector based on a likelihood function; wherein the likelihood function is a free energy equation. - View Dependent Claims (2, 3, 4, 5)
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Specification