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Volumn , Issue , 2010, Pages 1116-1122

Behavior understanding at railway station by postures and the pseud-trellis analysis of trajectories

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIOR ANALYSIS; BEHAVIOR UNDERSTANDING; PERFORMANCE EVALUATION; RAILWAY STATIONS; RULE-BASED APPROACH; TRANSPORTATION INFRASTRUCTURES; VIDEO STREAMS; VIDEO SURVEILLANCE SYSTEMS; VISUAL FEATURE;

EID: 78650439471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2010.5625247     Document Type: Conference Paper
Times cited : (2)

References (10)
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    • Actions as space-time shapes
    • Dec.
    • Blank, M., et al, "Actions as space-time shapes", IEEE Trans. on PAMI, vol. 29, no. 12, pp. 2247-2253, Dec. 2007.
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    • Blank, M.1
  • 3
    • 61549104695 scopus 로고    scopus 로고
    • Learning Atomic Pedestrian Actions Using Variable-Length Markov Models
    • Feb.
    • Yu-Ming Liang, et al, "Learning Atomic Pedestrian Actions Using Variable-Length Markov Models", IEEE Trans. on SMC (B): Cybernetics, vol. 39, no. 1, pp. 268-280, Feb. 2009.
    • (2009) IEEE Trans. on SMC (B): Cybernetics , vol.39 , Issue.1 , pp. 268-280
    • Liang, Y.-M.1
  • 4
    • 33845263063 scopus 로고    scopus 로고
    • Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network
    • Youtian Du, et al, "Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network", Lecture Notes in Computer Science, no. 4261, pp. 185-192, 2006.
    • (2006) Lecture Notes in Computer Science , Issue.4261 , pp. 185-192
    • Du, Y.1
  • 5
    • 79957461429 scopus 로고    scopus 로고
    • Pedestrian Behavior Analysis Using Multiple 2D Features and Multi category Support Vector Machine
    • Hao-Cheng Mo, et al, "Pedestrian Behavior Analysis Using Multiple 2D Features and Multi category Support Vector Machine", MVA2009 IAPR Conf. on Machine Vision Applications, May, 2009.
    • MVA2009 IAPR Conf. on Machine Vision Applications, May, 2009
    • Mo, H.-C.1
  • 9


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.