Abnormal event detection in crowded scenes using sparse representation
We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given a collection of normal training examples, e.g., an image sequence or a collection of local spatio-temporal patches, we propose the sparse reconstruction cost (SRC) over the normal dictionary to measure the...
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Main Authors: | , , |
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格式: | Article |
語言: | English |
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2013
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在線閱讀: | https://hdl.handle.net/10356/107417 http://hdl.handle.net/10220/17702 http://dx.doi.org/10.1016/j.patcog.2012.11.021 |
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機構: | Nanyang Technological University |
語言: | English |