Learning higher-order Markov models for object tracking in image sequences

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

Volumn 5876 LNCS, Issue PART 2, 2009, Pages 184-195

  Felsberg, Michael ^a   Larsson, Fredrik ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CAR FOLLOWING; COMPUTATION COMPLEXITY; EMPIRICAL DATA; FIRST-ORDER MARKOV MODEL; GRID POINTS; GRID-BASED APPROACH; HIGH-DIMENSIONAL; HIGHER ORDER; IMAGE SEQUENCE; IMAGE SEQUENCE ANALYSIS; JOINT DISTRIBUTIONS; MARKOV MODEL; MOTION MODELS; OBJECT DYNAMICS; OBJECT TRACKING; PARTICLE FILTER; PARZEN WINDOWS; POTENTIAL APPLICATIONS; STATE-SPACE; UN-CALIBRATED CAMERA;

COMPUTER SCIENCE; SECURITY SYSTEMS; WINDOWS;

MARKOV PROCESSES;

EID: 72449152786     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10520-3_17     Document Type: Conference Paper

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