SYSTEM AND METHOD FOR COUNTING THE NUMBER OF PEOPLE
First Claim
1. A system for counting the number of people, comprising:
- an object-tracking recorder for recording a first face information in a first time point;
a complexion region detector for determining whether an image captured by a camera in a second time point is a complexion region, wherein the second time point follows the first time point;
a face detector for determining whether the complexion region is a real face, if the complexion region is a real face, the real face is determined to be a front face or a profile face, and the determined result is recorded as a potential face information;
a relevance-matching calculator for processing a one-to-one similarity matching between the potential face information and the first face information, when the similarity matching achieves a predetermined condition, the potential face information updates the first face information, when the similarity matching does not achieve the predetermined condition and the potential face is the real face, the potential face is viewed as a second face information and added to the object-tracking recorder, and the first face information is set as been occluded; and
a counting calculator for counting the number of people in front of the camera according to the faces recorded by the object-tracking recorder.
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Abstract
This invention discloses a method and system for counting the number of people. First, a first face information is stored in a memory. Then, an image is determined to be a complexion region or not. The complexion region is determined to be a real face or not. Next, a one-to-one similarity matching is processed between the potential face information and the first face information, when the similarity matching achieves a predetermined condition, use the potential face information to update the first face information, when the similarity matching does not achieve a predetermined condition and the potential face is the real face, the potential face is viewed as a second face information and added to the memory, and the first face information is set as been occluded. Finally, the number of people in front of the camera is counted according to the faces stored in the memory.
19 Citations
17 Claims
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1. A system for counting the number of people, comprising:
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an object-tracking recorder for recording a first face information in a first time point; a complexion region detector for determining whether an image captured by a camera in a second time point is a complexion region, wherein the second time point follows the first time point; a face detector for determining whether the complexion region is a real face, if the complexion region is a real face, the real face is determined to be a front face or a profile face, and the determined result is recorded as a potential face information; a relevance-matching calculator for processing a one-to-one similarity matching between the potential face information and the first face information, when the similarity matching achieves a predetermined condition, the potential face information updates the first face information, when the similarity matching does not achieve the predetermined condition and the potential face is the real face, the potential face is viewed as a second face information and added to the object-tracking recorder, and the first face information is set as been occluded; and a counting calculator for counting the number of people in front of the camera according to the faces recorded by the object-tracking recorder. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for counting the number of people, comprising:
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a first face information in a first time point is stored in a memory; an image is determined to be a complexion region or not, wherein the image is captured by a camera in a second time point and the first time point is followed by the second time point; the complexion region is determined to be a real face or not, if the complexion region is a real face, the real face is determined to be a front face or a profile face, and the determined result is recorded as a potential face information; a one-to-one similarity matching is processed between the potential face information and the first face information, when the similarity matching achieves a predetermined condition, use the potential face information to update the first face information, when the similarity matching does not achieve a predetermined condition and the potential face is the real face, the potential face is viewed as a second face information and added to the memory, and the first face information is set as been occluded; and the number of people in front of the camera is counted according to the faces stored in the memory. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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Specification