Video surveillance system with connection probability computation that is a function of object size
First Claim
1. A method for use in a video surveillance system in which at least one set of trajectories for objects being tracked in an area under surveillance are computed, the method comprising identifying objects present-in said area under surveillance at a current point in time, and computing connection probabilities each associated with a respective object/trajectory pair, each object/trajectory pair comprising a particular one of said identified objects and a particular trajectory computed for a previous point in time, each connection probability being indicative of a likelihood that said particular trajectory is the actual trajectory of said particular object and each connection probability being a function of a measure of the similarity of the size of said particular object and the size of an object that terminates said particular trajectory.
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Abstract
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
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Citations
20 Claims
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1. A method for use in a video surveillance system in which at least one set of trajectories for objects being tracked in an area under surveillance are computed, the method comprising
identifying objects present-in said area under surveillance at a current point in time, and computing connection probabilities each associated with a respective object/trajectory pair, each object/trajectory pair comprising a particular one of said identified objects and a particular trajectory computed for a previous point in time, each connection probability being indicative of a likelihood that said particular trajectory is the actual trajectory of said particular object and each connection probability being a function of a measure of the similarity of the size of said particular object and the size of an object that terminates said particular trajectory.
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11. A method for use in a video surveillance system in which at least one hypothesis has been developed, said hypothesis comprising a hypothesized set of trajectories of a set of objects hypothesized to have been moving through an area under surveillance at a particular point in time, said objects being in a particular object class, the method comprising
identifying objects in said particular object class moving through said area at a subsequent point in time, and computing connection probabilities each associated with a respective object/trajectory pair, each object/trajectory pair comprising a particular one of said identified objects and a particular trajectory of said hypothesis, each connection probability being indicative of a likelihood that said particular trajectory is the actual trajectory of said particular object, each connection probability for each said pair being a function of one or more measures of the similarity between the particular object of that pair and the object to which the particular trajectory was previously extended, said one or more measures of similarity including a similarity in size between said particular object and said object to which the particular trajectory was extended.
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15. An electronic surveillance system of a type in which at least one set of trajectories for objects being tracked in an area under surveillance are computed, the system being adapted to
identify objects present in said area under surveillance at a current point in time, and compute connection probabilities each associated with a respective object/trajectory pair, each object/trajectory pair comprising a particular one of said identified objects and a particular trajectory computed for a previous point in time, each connection probability being indicative of a likelihood that said particular trajectory is the actual trajectory of said particular object and each connection probability being a function of a measure of the similarity of the size of said particular object and the size of an object that terminates said particular trajectory.
Specification