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Volumn , Issue , 2010, Pages 20-23

A robust particle filter for people tracking

Author keywords

Motion model; Particle filter; People tracking; Similarity measure

Indexed keywords

ESTIMATION PERFORMANCE; FOREGROUND REGIONS; MOTION MODELS; PARTICLE FILTER; PARTICLE FILTERING; PEOPLE TRACKING; PROPOSAL DISTRIBUTION; SIMILARITY MEASURE; STATE VECTOR; TIME STEP; TRACKING ALGORITHM; TRACKING PROBLEM;

EID: 77952195511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFN.2010.34     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 34548133657 scopus 로고    scopus 로고
    • Adaptive object tracking based on an effective appearance filter
    • Wang, H., et al., Adaptive object tracking based on an effective appearance filter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007. 29(9): p. 1661-1667.
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.9 , pp. 1661-1667
    • Wang, H.1
  • 7
    • 34248582182 scopus 로고    scopus 로고
    • Sequential Monte Carlo tracking by fusing multiple cues in video sequences
    • Brasnett, P., et al., Sequential Monte Carlo tracking by fusing multiple cues in video sequences. Image and Vision Computing, 2007. 25(8): p. 1217-1227.
    • (2007) Image and Vision Computing , vol.25 , Issue.8 , pp. 1217-1227
    • Brasnett, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.