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Volumn 6523 LNCS, Issue PART 1, 2011, Pages 481-491

Adaptive model for robust pedestrian counting

Author keywords

adaptive model; grid mask; pedestrian counting; RJMCMC

Indexed keywords

ADAPTIVE MODELS; BAYESIAN FRAMEWORKS; BODY PARTS; BRANCH STRUCTURE; GRID MASK; HEURISTIC APPROACH; HIGH DIMENSIONS; MODEL BASED APPROACH; PEDESTRIAN COUNTING; PEDESTRIAN DETECTION; PEDESTRIAN MODELS; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; RJMCMC; TWO STAGE; ADAPTIVE MODELING;

EID: 78751665483     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17832-0_45     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 3
    • 33745943636 scopus 로고    scopus 로고
    • Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detection
    • Beijing, China
    • Wu, B., Nevatia, R.: Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detection. In: 11th IEEE International Conference on Computer Vision, Beijing, China, pp. 90-97 (2005)
    • (2005) 11th IEEE International Conference on Computer Vision , pp. 90-97
    • Wu, B.1    Nevatia, R.2
  • 8
    • 84964397430 scopus 로고    scopus 로고
    • Stochastic human segmentation from a static camera
    • Orlando, USA
    • Zhao, T., Nevatia, R.: Stochastic human segmentation from a static camera. In: Workshop on Motion and Video Computing, Orlando, USA, pp. 9-14 (2002)
    • (2002) Workshop on Motion and Video Computing , pp. 9-14
    • Zhao, T.1    Nevatia, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.