Learning discriminative features for fast frame-based action recognition : Sparse representation for event recognition in video surveillance
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| Published in | Pattern recognition Vol. 46; no. 7; pp. 1832 - 1840 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
Elsevier
2013
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| Subjects | |
| Online Access | Get full text |
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| Author | LIANG WANG WEN GAO TINGTING JIANG YIZHOU WANG DEBIN ZHAO |
|---|---|
| Author_xml | – sequence: 1 surname: LIANG WANG fullname: LIANG WANG organization: National Engineering Lab for Video Technology & Key Laboratory of Machine Perception (MoE), School of EECS, Peking University, Beijing, China – sequence: 2 surname: YIZHOU WANG fullname: YIZHOU WANG organization: National Engineering Lab for Video Technology & Key Laboratory of Machine Perception (MoE), School of EECS, Peking University, Beijing, China – sequence: 3 surname: TINGTING JIANG fullname: TINGTING JIANG organization: National Engineering Lab for Video Technology & Key Laboratory of Machine Perception (MoE), School of EECS, Peking University, Beijing, China – sequence: 4 surname: DEBIN ZHAO fullname: DEBIN ZHAO organization: School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang Province, China – sequence: 5 surname: WEN GAO fullname: WEN GAO organization: National Engineering Lab for Video Technology & Key Laboratory of Machine Perception (MoE), School of EECS, Peking University, Beijing, China |
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| Keywords | Performance evaluation Discriminant analysis State of the art Motion estimation Joint distribution Learning Degradation Image quality Feature mining Frame-based action recognition Accuracy Signal processing Motion analysis Optical flow Damaging |
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| Title | Learning discriminative features for fast frame-based action recognition : Sparse representation for event recognition in video surveillance |
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