3D mean-shift tracking of human body parts and recognition of working actions in an industrial environment

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

Volumn 6219 LNCS, Issue , 2010, Pages 101-112

  Hahn, Markus ^a   Quronfuleh, Fuad ^a   Wöhler, Christian ^b   Kummert, Franz ^c  

^a DAIMLER AG   (Germany)

^b TU DORTMUND UNIVERSITY   (Germany)

^c BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3-D TRAJECTORY; 3D POINT CLOUD; 3D TRACKING; ACTION RECOGNITION; EXPERIMENTAL EVALUATION; GROUND TRUTH DATA; HUMAN BODIES; INDUSTRIAL ENVIRONMENTS; MEAN SHIFT; MEAN SHIFT ALGORITHM; METRIC ACCURACY; MOVING OBJECTS; NONSTATIONARY; PARTICLE FILTER; REAL-WORLD TESTS; REALISTIC CONDITIONS; SCENE-BASED; SPATIAL CONTEXT; TRACKED OBJECTS; TRINOCULAR CAMERAS; TWO STAGE; WORKING ENVIRONMENT;

BEHAVIORAL RESEARCH; HIDDEN MARKOV MODELS; IMAGE PROCESSING; INDUSTRY; OCCUPATIONAL RISKS; TRACKING (POSITION);

THREE DIMENSIONAL;

EID: 77958455495     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14715-9_11     Document Type: Conference Paper

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