Efficient minimum error bounded particle resampling l1 tracker with occlusion detection

IEEE Transactions on Image Processing

Volumn 22, Issue 7, 2013, Pages 2661-2675

  Mei, Xue ^a   Ling, Haibin ^b   Wu, Yi ^c,d   Blasch, Erik P ^e   Bai, Li ^f  

^a America   (United States)

^b Temple University   (United States)

^c NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^d Merced   (United States)

^e AIR FORCE RESEARCH LABORATORY   (United States)

^f Temple University   (United States)

Author keywords

1 minimization; compressive sensing; minimum error bound; occlusion detection; particle filter (PF); sparse representation; visual tracking

Indexed keywords

COMPRESSIVE SENSING; ERROR BOUND; OCCLUSION DETECTION; PARTICLE FILTER; SPARSE REPRESENTATION; VISUAL TRACKING;

BENCHMARKING; BIOMETRICS; ERROR ANALYSIS; MONTE CARLO METHODS; TARGET TRACKING;

ERROR DETECTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CAR; HAND; HEAD MOVEMENT; HUMAN; IMAGE PROCESSING; METHODOLOGY; PHYSIOLOGY; WALKING; PROCEDURES;

ALGORITHMS; AUTOMOBILES; HAND; HEAD MOVEMENTS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; WALKING;

EID: 84877919236     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2255301     Document Type: Article

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