发明授权
- 专利标题: Object detection system based on a pool of adaptive features
- 专利标题(中): 基于自适应特征池的对象检测系统
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申请号: US13353485申请日: 2012-01-19
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公开(公告)号: US08655018B2公开(公告)日: 2014-02-18
- 发明人: Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
- 申请人: Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
- 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: Hoffman Warnick LLC
- 代理商 Matthew Chung
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A method, system and computer program product for detecting presence of an object in an image are disclosed. According to an embodiment, a method for detecting a presence of an object in an image comprises: receiving multiple training image samples; determining a set of adaptive features for each training image sample, the set of adaptive features matching the local structure of each training image sample; integrating the sets of adaptive features of the multiple training image samples to generate an adaptive feature pool; determining a general feature based on the adaptive feature pool; and examining the image using a classifier determined based on the general feature to detect the presence of the object.
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