Can diversity amongst learners improve online object tracking?

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

Volumn 7872 LNCS, Issue , 2013, Pages 212-223

  Nebehay, Georg ^a   Chibamu, Walter ^b   Lewis, Peter R ^b   Chandra, Arjun ^c   Pflugfelder, Roman ^a   Yao, Xin ^b  

^a AIT AUSTRIAN INSTITUTE OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^c UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ENSEMBLE CLASSIFICATION; ENSEMBLE CLASSIFIERS; OBJECT TRACKING; ONLINE LEARNING; ONLINE OBJECT TRACKING; STATE OF THE ART; TRACKING PERFORMANCE;

TRACKING (POSITION);

BENCHMARKING;

EID: 84892921779     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38067-9_19     Document Type: Conference Paper

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