Invention Grant
- Patent Title: Object detection system based on a pool of adaptive features
- Patent Title (中): 基于自适应特征池的对象检测系统
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Application No.: US13353485Application Date: 2012-01-19
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Publication No.: US08655018B2Publication Date: 2014-02-18
- Inventor: Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
- Applicant: Rogerio S. Feris , Arun Hampapur , Ying-Li Tian
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Hoffman Warnick LLC
- Agent Matthew Chung
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
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.
Public/Granted literature
- US20120121170A1 OBJECT DETECTION SYSTEM BASED ON A POOL OF ADAPTIVE FEATURES Public/Granted day:2012-05-17
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