- 专利标题: Appearance modeling for object re-identification using weighted brightness transfer functions
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申请号: US13647645申请日: 2012-10-09
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公开(公告)号: US09633263B2公开(公告)日: 2017-04-25
- 发明人: Lisa M. Brown , Ankur Datta , Rogerio S. Feris , Sharathchandra U. Pankanti
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Schmeiser, Olsen & Watts
- 代理商 William H. Hartwell
- 主分类号: H04N7/18
- IPC分类号: H04N7/18 ; G06K9/00 ; G06K9/62 ; G08B13/196
摘要:
An approach for re-identifying an object in a first test image is presented. Brightness transfer functions (BTFs) between respective pairs of training images are determined. Respective similarity measures are determined between the first test image and each of the training images captured by the first camera (first training images). A weighted brightness transfer function (WBTF) is determined by combining the BTFs weighted by weights of the first training images. The weights are based on the similarity measures. The first test image is transformed by the WBTF to better match one of the training images captured by the second camera. Another test image, captured by the second camera, is identified because it is closer in appearance to the transformed test image than other test images captured by the second camera. An object in the identified test image is a re-identification of the object in the first test image.
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