Linking tracked objects that undergo temporary occlusion
First Claim
1. A method that facilitates tracking of a target, comprising:
- detecting a disappearance of the target from a first region of a scene in a field of view of a camera,detecting an appearance of an object in a second region of the scene,estimating a likelihood of the object corresponding to the target, based on a transition likelihood that is associated with object transitions from the first region to the second region, andupdating the transition likelihood based on a weighted running average that is based on the transition likelihood and a result of a current disappearance.
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Accused Products
Abstract
A method and system is configured to characterize regions of an environment by the likelihoods of transition of a target from each region to another. The likelihoods of transition between regions is preferably used in combination with conventional object-tracking algorithms to determine the likelihood that a newly-appearing object in a scene corresponds to a recently-disappeared target. The likelihoods of transition may be predefined based on the particular environment, or may be determined based on prior appearances and disappearances in the environment, or a combination of both. The likelihoods of transition may also vary as a function of the time of day, day of the week, and other factors that may affect the likelihoods of transitions between regions in the particular surveillance environment.
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Citations
28 Claims
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1. A method that facilitates tracking of a target, comprising:
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detecting a disappearance of the target from a first region of a scene in a field of view of a camera, detecting an appearance of an object in a second region of the scene, estimating a likelihood of the object corresponding to the target, based on a transition likelihood that is associated with object transitions from the first region to the second region, and updating the transition likelihood based on a weighted running average that is based on the transition likelihood and a result of a current disappearance. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of characterizing a plurality of regions of a scene, to facilitate object-tracking among the plurality of regions, including:
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determining a number of transitions of objects from each region to each other region, determining a transition likelihood of objects from each region to each other region, based on the number of transitions of objects from each region to each other region, and updating the transition likelihood based on a weighted running average of the transition likelihood and a result of a current disappearance. - View Dependent Claims (14, 15, 16)
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17. A method of characterizing a plurality of regions of a scene, to facilitate object-tracking among the plurality of regions, including:
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determining a number of transitions of objects from each region to each other region, determining a transition likelihood of objects from each region to each other region, based on the number of transitions of objects from each region to each other region, and determining at least one of; a total number of arrivals of objects in each region, and a total number of departures of objects in each region; wherein determining the transition likelihood is further based on at least one of the total number of arrivals and departures of objects in each region, and determining the transition likelihood is based on a ratio of the number of transitions to each region to the total number of arrivals to each region. - View Dependent Claims (18)
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19. A system that facilitates tracking of objects among a plurality of regions of one or more scenes, comprising:
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a video processor that is configured to identify arrivals and departures of objects in each region of the plurality of regions, a transition predictor, operably coupled to the video processor, that is configured to provide a measure of likelihood that a departure of a first object from a first region of the plurality of regions corresponds to an arrival of a second object at a second region of the plurality of regions, an object comparer, operably coupled to the video processor, that is configured to provide a measure of similarity between the first object and the second object, and an object linker, operably coupled to the transition predictor and the object comparer, that is configured to selectively link data associated with the second object to data associated to the first object, based on the measures of likelihood and similarity, wherein the transition predictor is configured to update the measure of likelihood based on a weighted running average of the measure of likelihood and a result of a current disappearance. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
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27. A method that facilitates tracking of a target, comprising:
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detecting a disappearance of the target from a first region of a scene in a field of view of a camera, detecting an appearance of an object in a second region of the scene, estimating a likelihood of the object corresponding to the target, based on a transition likelihood that is associated with object transitions from the first region to the second region, and determining the transition likelihood, based on prior disappearances and subsequent appearances in one or more scenes wherein determining the transition likelihood is based on a ratio of a number of prior transitions from the first region to the second region to a total number of appearances at the second region. - View Dependent Claims (28)
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Specification