Visual sensing for large-scale tracking
First Claim
1. A method of tracking a plurality of targets comprises:
- capturing a plurality of images of a plurality of targets with a plurality of image capture devices;
generating a target observation for each target, said target observation including at least a visual signature of the target and a time value;
partitioning target observations according to similarities in their visual signatures; and
producing primary tracks from the partitioned target observations, wherein each primary track includes ordered sequences of observation events having similarities in their visual signatures, wherein the primary tracks are decomposed into refined tracks using traffic flow information of events observed in the plurality of images, the traffic information flow being repeatedly revised as additional events are observed.
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Abstract
One embodiment of a method of tracking a plurality of targets can be broadly summarized by the following steps: capturing a plurality of images of a plurality of targets with a plurality of image capture devices; generating a target observation for each target, said target observation including at least a visual signature of the target and a time value; partitioning target observations according to similarities in their visual signatures; and producing primary tracks from the partitioned target observations, wherein each primary track includes ordered sequences of observation events having similarities in their visual signatures. Other methods and systems are also provided.
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Citations
17 Claims
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1. A method of tracking a plurality of targets comprises:
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capturing a plurality of images of a plurality of targets with a plurality of image capture devices; generating a target observation for each target, said target observation including at least a visual signature of the target and a time value; partitioning target observations according to similarities in their visual signatures; and producing primary tracks from the partitioned target observations, wherein each primary track includes ordered sequences of observation events having similarities in their visual signatures, wherein the primary tracks are decomposed into refined tracks using traffic flow information of events observed in the plurality of images, the traffic information flow being repeatedly revised as additional events are observed. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16)
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12. Apparatus for tracking a plurality of targets comprises:
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a plurality of image capture devices operable to capture a plurality of images of a plurality of targets; primary computing means operable to a) generate a target observation for each target; b) to partition target observations according to similarities in visual signatures of the target observations; and c) produce primary track estimates from the partitioned target observations, wherein each primary track includes ordered sequences of observation events having similarities in their visual signatures, wherein primary tracks are decomposed into refined tracks using traffic flow information of events observed in the plurality of images, the traffic information flow being repeatedly revised as additional events are observed. - View Dependent Claims (13, 14, 15)
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17. A method of tracking a plurality of targets comprising the steps of:
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capturing a plurality of images of a plurality of targets with a plurality of image capture devices; generating a visual signature and a time value in respect of each instance of observation of a target; partitioning instances of observation according to similarities in their visual signatures, and producing primary tracks from the partitioned instances of observations, wherein each primary track includes ordered sequences of observation events having similarities in their visual signatures and primary tracks are decomposed into refined tracks using traffic flow information of events observed in the plurality of images, the traffic information flow being repeatedly revised as additional events are observed.
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Specification