EFFICIENT METHOD FOR TRACKING PEOPLE
First Claim
1. A method to track persons, comprising the steps of:
- (a) generating a first set of facial coefficient vectors by;
(i) providing a first image containing a plurality of persons;
(ii) locating faces of persons in said first image; and
(iii) generating a facial coefficient vector for each said face by extracting from said first image coefficients sufficient to locally identify each said face,(b) generating a second set of facial coefficient vectors by;
(i) providing a second image containing a plurality of persons;
(ii) locating faces of persons in said second image; and
(iii) generating a facial coefficient vector for each said face by extracting from said second image coefficients sufficient to locally identify each face, and(c) tracking the persons within said images, said tracking including comparing said first set of facial coefficient vectors to said second set of facial coefficient vectors to determine for each person in said first image if there is a corresponding person in said second image.
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Abstract
In accordance with one embodiment, a method to track persons includes generating a first and second set of facial coefficient vectors by: (i) providing a first and second image containing a plurality of persons; (ii) locating faces of persons in each image; and (iii) generating a facial coefficient vector for each face by extracting from the images coefficients sufficient to locally identify each face, then tracking the persons within the images, the tracking including comparing the first set of facial coefficient vectors to the second set of facial coefficient vectors to determine for each person in the first image if there is a corresponding person in the second image. Optically the method includes using estimated locations in combination with the vector distance between facial coefficient vectors to track persons.
58 Citations
32 Claims
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1. A method to track persons, comprising the steps of:
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(a) generating a first set of facial coefficient vectors by; (i) providing a first image containing a plurality of persons; (ii) locating faces of persons in said first image; and (iii) generating a facial coefficient vector for each said face by extracting from said first image coefficients sufficient to locally identify each said face, (b) generating a second set of facial coefficient vectors by; (i) providing a second image containing a plurality of persons; (ii) locating faces of persons in said second image; and (iii) generating a facial coefficient vector for each said face by extracting from said second image coefficients sufficient to locally identify each face, and (c) tracking the persons within said images, said tracking including comparing said first set of facial coefficient vectors to said second set of facial coefficient vectors to determine for each person in said first image if there is a corresponding person in said second image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system to track persons, the system comprising:
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(a) at least one image capture device providing a first image; (b) at least one image capture device providing a second image; and (c) a processing system including at least one processor, operationally connected to said image capture device, configured to; (i) generate from said first image a first set of facial coefficient vectors; (ii) generate from said second image a second set of facial coefficient vectors; and (iii) track persons using said first set of facial coefficient vectors with said second set of facial coefficient vectors. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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Specification