Visual tracking based on convolutional deep belief network

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

Volumn 9231, Issue , 2015, Pages 103-115

  Hu, Dan ^a,c   Zhou, Xingshe ^a   Wu, Junjie ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^c AIR FORCE ENGINEERING UNIVERSITY   (China)

Author keywords

Convolutional deep belief network; Deep learning; GPU; Visual tracking

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; COMPUTER VISION; PROGRAM PROCESSORS; TRACKING (POSITION);

DEEP BELIEF NETWORKS; DEEP LEARNING; EXPERIMENTAL EVALUATION; GPU; GRAPHICS PROCESSING UNIT; REAL TIME PERFORMANCE; TRANSLATION INVARIANCE; VISUAL TRACKING;

CONVOLUTION;

EID: 84944673229     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-23216-4_8     Document Type: Conference Paper

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