Model-based human motion tracking and behavior recognition using hierarchical finite state automata

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

Volumn 3046 LNCS, Issue PART 4, 2004, Pages 311-320

  Park, Jihun ^a   Park, Sunghun ^b   Aggarwal, J K ^c  

^a Hong Ik University   (South Korea)

^b Myong Ji University   (South Korea)

^c The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMATION; AUTOMATA THEORY; COMPUTATIONAL GEOMETRY; COST FUNCTIONS; IMAGE RETRIEVAL; MOTION ANALYSIS; OPTIMIZATION; SECURITY SYSTEMS; SOCIAL SCIENCES; TARGET TRACKING; VIDEO RECORDING; VIDEO SIGNAL PROCESSING;

AUTOMATED SURVEILLANCE; BEHAVIOR RECOGNITION; CONTENT-BASED VIDEO RETRIEVAL; HUMAN BEHAVIOR RECOGNITION; HUMAN MOTION TRACKING; KINEMATIC SINGULARITY; MONOCULAR VIDEO SEQUENCES; PARAMETER OPTIMIZATION PROBLEMS;

BEHAVIORAL RESEARCH;

EID: 67650655216     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24768-5_33     Document Type: Article

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