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Volumn , Issue , 2009, Pages 364-369

Incorporating contextual information in pedestrian recognition

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; CONTEXTUAL INFORMATION; FALSE ALARMS; IMAGE CUTOUT; LOCAL CLASSIFIER; PEDESTRIAN DETECTION SYSTEM; PEDESTRIAN RECOGNITION; POSSIBLE SOLUTIONS; TRUE POSITIVE;

EID: 70449592007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2009.5164305     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 4
    • 84898443841 scopus 로고    scopus 로고
    • A unified system for object detection, texture recognition and context analysis based on the standard model feature set
    • Bileschi, S. and Wolf, L., "A unified system for object detection, texture recognition and context analysis based on the standard model feature set." in British Machine Vision Conference (BMVC), 2006, 2006.
    • (2006) British Machine Vision Conference (BMVC), 2006
    • Bileschi, S.1    Wolf, L.2
  • 9
    • 0037500818 scopus 로고    scopus 로고
    • Contextual priming for object detection
    • Torralba, A., "Contextual priming for object detection," in International Journal of Computer Vision, Vol. 53(2), 2003, pp. 169-191.
    • (2003) International Journal of Computer Vision , vol.53 , Issue.2 , pp. 169-191
    • Torralba, A.1
  • 10
    • 0344120278 scopus 로고    scopus 로고
    • Context-based vision system for place and object recognition
    • Online, Available
    • A. Torralba, K. Murphy, W Freeman, and M. Rubin, "Context-based vision system for place and object recognition," in In Intl. Conf. Computer Vision, 2003., 2003. [Online]. Available: citeseer.ist.psu.edu/ torralba03contextbased.html
    • (2003) In Intl. Conf. Computer Vision , pp. 2003
    • Torralba, A.1    Murphy, K.2    Freeman, W.3    Rubin, M.4
  • 12
    • 47849096372 scopus 로고    scopus 로고
    • Determining posterior probabilities on the bases of cascaded classifiers as used in pedestrian detection systems
    • Schweiger, R., Hammer, H., and Lohlein, O., "Determining posterior probabilities on the bases of cascaded classifiers as used in pedestrian detection systems," in The IEEE Intelligent Vehicles Symposium, IV 2007, 2007.
    • (2007) The IEEE Intelligent Vehicles Symposium, IV , pp. 2007
    • Schweiger, R.1    Hammer, H.2    Lohlein, O.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.