Temporal-spatial local Gaussian process experts for human pose estimation

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

Volumn 5994 LNCS, Issue PART 1, 2010, Pages 364-373

  Zhao, Xu ^a   Fu, Yun ^b   Liu, Yuncai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL DISTRIBUTION; COVARIANCE FUNCTION; CURRENT TECHNIQUES; FEATURE SPACE; GAUSSIAN PROCESS; GAUSSIAN PROCESSES; HIGH DIMENSIONAL SPACES; HUMAN MOTIONS; HUMAN POSE ESTIMATIONS; INPUT-OUTPUT; LEARNING PROCESS; LOCAL EXPERTS; MULTI-MODAL; MULTI-MODALITY; POSE SPACE; REGRESSION MODEL; SEAMLESS SYSTEM; SPATIAL INFORMATIONS; TEST INPUTS; TRAINING SAMPLE;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); REGRESSION ANALYSIS; SAMPLING;

COMPUTER VISION;

EID: 78650464372     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12307-8_34     Document Type: Conference Paper

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