A multiple-hypothesis approach for multiobject visual tracking

IEEE Transactions on Image Processing

Volumn 16, Issue 11, 2007, Pages 2849-2854

  Joo, Seong Wook ^a   Chellappa, Rama ^b  

^a GOOGLE INC   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Data association; Multiple hypothesis tracking (MHT); Video object tracking

Indexed keywords

DATA PROCESSING; GRAPH THEORY; IMAGE PROCESSING; PROBABILITY; PROBLEM SOLVING;

BIPARTITE GRAPH EDGE; DATA ASSOCIATION; MULTIPLE-HYPOTHESIS TRACKING (MHT); VIDEO-OBJECT TRACKING;

OBJECT RECOGNITION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LETTER; MATHEMATICAL COMPUTING; METHODOLOGY; MOTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MOTION; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 36348968443     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2007.906254     Document Type: Article

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