Improving the robustness of particle filter-based visual trackers using online parameter adaptation

2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings

Volumn , Issue , 2007, Pages 218-223

  Bagdanov, Andrew D ^a   Bimbo, Alberto Del ^a   Dini, Fabrizio ^a   Nunziati, Walter ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR FILTERS; DYNAMICS; EQUATIONS OF MOTION; EQUATIONS OF STATE; ESTIMATION; IMAGING TECHNIQUES; MECHANICS; MULTITASKING; NONLINEAR ANALYSIS; NONLINEAR FILTERING; PARAMETER ESTIMATION; PHOTOGRAPHY; RISK PERCEPTION; SECURITY SYSTEMS; SET THEORY; SIGNAL FILTERING AND PREDICTION; STEEL ANALYSIS; UNCERTAINTY ANALYSIS; VIDEO RECORDING; WAVE FILTERS;

ADAPTIVE APPROACH; ADAPTIVE MEAN SHIFT (AMS); ADAPTIVE PARAMETER ESTIMATION; APPEARANCE MODELING; DYNAMIC VELOCITY; MODEL UPDATING; ON-LINE PARAMETER; PARTICLE FILTER (PF); PARTICLE FILTER TRACKERS; PERFORMANCE EVALUATION (PE); STATIC AND DYNAMIC; TARGET MOTIONS; VIDEO SEQUENCING;

TARGET TRACKING;

EID: 44849129777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2007.4425313     Document Type: Conference Paper

References (6)

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