"Shape activity": A continous-state HMM for moving/deforming shapes with application to abnormal activity detection

IEEE Transactions on Image Processing

Volumn 14, Issue 10, 2005, Pages 1603-1616

  Vaswani, Namrata ^a   Roy Chowdhury, Amit K ^b   Chellappa, Rama ^c  

^a Iowa State University of Science and Technology   (United States)

^b University of California Riverside   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Abnormal activity detection; Activity recognition; Hidden Markov model (HMM); Landmark shape dynamics; Particle filtering; Shape activity

Indexed keywords

KALMAN FILTERING; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; STATISTICAL METHODS; VECTORS;

ABNORMAL ACTIVITY DETECTION; ACTIVITY RECOGNITION; HIDDEN MARKOV MODEL (HMM); LANDMARK SHAPE DYNAMICS; PARTICLE FILTERING; SHAPE ACTIVITY;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PROBABILITY; STATISTICAL MODEL; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 27744441549     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.852197     Document Type: Article

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