Rate-invariant recognition of humans and their activities

IEEE Transactions on Image Processing

Volumn 18, Issue 6, 2009, Pages 1326-1339

  Veeraraghavan, Ashok ^a,b   Srivastava, Anuj ^c   Roy Chowdhury, Amit K ^d   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b MITSUBISHI ELECTRIC RESEARCH LABORATORIES   (United States)

^c FLORIDA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; ACTIVITY RECOGNITION; BAYESIAN ALGORITHMS; COMPUTATIONALLY EFFICIENT; DESCRIPTORS; DISTANCE MEASURE; EXPERIMENTAL JUSTIFICATION; FUNCTION SPACES; INFERENCE ALGORITHM; INVARIANT RECOGNITION; MONTE CARLO SAMPLING; PERSON IDENTIFICATION; RATE FUNCTIONS; RATE VARIATION; SPATIAL CHANGES; SPATIAL VARIATIONS; SPATIO-TEMPORAL VARIATION; SPECIFIC TIME; SQUARE-ROOT; SYSTEMATIC MODELS; TEMPORAL VARIATION; TIME WARP; TIME WARPING; UNIFORM DISTRIBUTION;

DISTRIBUTION FUNCTIONS; IMAGE SEGMENTATION; INFERENCE ENGINES; PATTERN RECOGNITION; WEAVING;

PROBABILITY DISTRIBUTIONS;

ALGORITHM; ANTHROPOMETRY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; GAIT; HUMAN; METHODOLOGY; MONTE CARLO METHOD; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; STATISTICAL MODEL; VIDEORECORDING;

ALGORITHMS; ANTHROPOMETRY; BAYES THEOREM; GAIT; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; VIDEO RECORDING;

EID: 67349101864     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2017143     Document Type: Article

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