Hierarchical filtered motion for action recognition in crowded videos

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 42, Issue 3, 2012, Pages 313-323

  Tian, Yingli ^a   Cao, Liangliang ^b   Liu, Zicheng ^c   Zhang, Zhengyou ^c  

^a CITY COLLEGE OF NEW YORK   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c MICROSOFT RESEARCH   (United States)

Author keywords

Action classification; action detection; crowded videos; hierarchical filtered motion (HFM); motion history image (MHI)

Indexed keywords

ACTION RECOGNITION; BACKGROUND MOTION; CROWDED VIDEOS; DATA SETS; DETECTION EXPERIMENTS; HARRIS CORNERS; HIERARCHICAL FILTERED MOTION (HFM); HIGH INTENSITY; HISTOGRAMS OF ORIENTED GRADIENTS; INTENSITY IMAGES; INTEREST POINTS; LOCAL MOTIONS; LOCAL REGION; MICROSOFT RESEARCHES; MOTION FIELDS; MOTION HISTORY IMAGES; SMOOTHING FILTERS; SPATIAL MOTIONS; TEMPORAL FEATURES;

EXPERIMENTS; PIXELS; SCANNING; STATISTICAL TESTS;

CLASSIFICATION (OF INFORMATION);

EID: 84860220275     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2011.2149519     Document Type: Article

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