Action recognition with stacked fisher vectors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8693 LNCS, Issue PART 5, 2014, Pages 581-595

  Peng, Xiaojiang ^a,b,c   Zou, Changqing ^b,c   Qiao, Yu ^b,d   Peng, Qiang ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c HENGYANG NORMAL UNIVERSITY   (China)

^d CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Action recognition; Fisher vectors; max margin dimensionality reduction; stacked Fisher vectors

Indexed keywords

ENCODING (SYMBOLS);

ACTION RECOGNITION; ACTION REPRESENTATIONS; DIMENSIONALITY REDUCTION; FISHER VECTORS; LARGE MARGINS; LOCAL FEATURE; SEMANTIC INFORMATION; STATE-OF-THE-ART METHODS;

VECTORS;

EID: 84906510060     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10602-1_38     Document Type: Conference Paper

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