发明名称 |
Object detection system and method |
摘要 |
Disclosed is a system and method for detecting a human in an image, and a corresponding activity. The image is captured, wherein the image comprises a plurality of pixels having gray scale information and a depth information. The image is segmented into a plurality of segments based upon the depth information. A connected component analysis is performed on a segment in order to segregate the one or more objects into noisy objects and candidate objects, the noisy objects are eliminated from the segment. A plurality of features are extracted from the candidate objects, and are evaluated using a Hidden Markov Model (HMM) model in order to determine the candidate objects as one of the human or non-human. The corresponding activity associated with the human is detected based on a depth value associated with each pixel corresponding to the candidate object in the image. |
申请公布号 |
EP2905724(A3) |
申请公布日期 |
2015.09.16 |
申请号 |
EP20150154024 |
申请日期 |
2015.02.05 |
申请人 |
TATA CONSULTANCY SERVICES LIMITED |
发明人 |
ROY, SANGHEETA;CHATTOPADHYAY, TANUSHYAM;MUKHERJEE, DIPTI PRASAD |
分类号 |
G06K9/00;G06K9/46;G06K9/48 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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