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Volumn , Issue 2121, 2009, Pages 81-89

Video-based vehicle detection and tracking using spatiotemporal maps

Author keywords

[No Author keywords available]

Indexed keywords

SECURITY SYSTEMS; VEHICLES; VIBRATIONS (MECHANICAL);

EID: 76149118797     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2121-09     Document Type: Article
Times cited : (34)

References (23)
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  • 2
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    • Wang, Y., and N. L. Nihan. Can Single-Loop Detectors Do the Work of Dual-Loop Detectors? ASCE Journal of Transportation Engineering, Vol.129, No.2, 2003, pp. 169-176.
    • (2003) ASCE Journal of Transportation Engineering , vol.129 , Issue.2 , pp. 169-176
    • Wang, Y.1    Nihan, N.L.2
  • 3
    • 0026114488 scopus 로고
    • Vehicle detection video through image processing: The autoscope system
    • Michalopoulos, P. G. Vehicle Detection Video Through Image Processing: The Autoscope System. IEEE Transactions on Vehicular Technology, Vol.40, No.1, 1991, pp. 21-29.
    • (1991) IEEE Transactions on Vehicular Technology , vol.40 , Issue.1 , pp. 21-29
    • Michalopoulos, P.G.1
  • 5
    • 38349010783 scopus 로고    scopus 로고
    • Real-time detection and tracking of vehicle base fronts for measuring traffic counts and speeds on highways
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Kanhere, N. K., S. T. Birchfield, W. A. Sarasua, and T. C. Whitney. Real-Time Detection and Tracking of Vehicle Base Fronts for Measuring Traffic Counts and Speeds on Highways. In Transportation Research Record: Journal of the Transportation Research Board, No.1993, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 155-164.
    • (2007) Transportation Research Record: Journal of the Transportation Research Board, No. 1993 , pp. 155-164
    • Kanhere, N.K.1    Birchfield, S.T.2    Sarasua, W.A.3    Whitney, T.C.4
  • 6
    • 38349071633 scopus 로고    scopus 로고
    • Video-based vehicle detection and classification system for real-time traffic data collection using uncalibrated video cameras
    • Transportation Research Board of the National Academies, Washington, D.C.
    • Zhang, G., R. P. Avery, and Y. Wang. Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras. In Transportation Research Record: Journal of the Transportation Research Board, No.1993, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 138-147.
    • (2007) Transportation Research Record: Journal of the Transportation Research Board, No. 1993 , pp. 138-147
    • Zhang, G.1    Avery, R.P.2    Wang, Y.3
  • 7
    • 85173175060 scopus 로고    scopus 로고
    • Image Sensing Systems Inc. Accessed July 14, 2008
    • Autoscope. Image Sensing Systems, Inc. www.autoscope.com/. Accessed July 14, 2008.
  • 8
    • 85173154268 scopus 로고    scopus 로고
    • Accessed July 14, 2008
    • Traficon. www.traficon.com/. Accessed July 14, 2008.
  • 11
    • 34548525509 scopus 로고    scopus 로고
    • A Method for vehicle count in the presence of multiple-vehicle occlusions in traffic images
    • Pang, C. C. C., W. W. L. Lam, and N. H. C. Yung. A Method for Vehicle Count in the Presence of Multiple-Vehicle Occlusions in Traffic Images. IEEE Transactions on Intelligent Transportation Systems, Vol.8, No.3, 2007, pp. 441-459.
    • (2007) IEEE Transactions on Intelligent Transportation Systems , vol.8 , Issue.3 , pp. 441-459
    • Pang, C.C.C.1    Lam, W.W.L.2    Yung, N.H.C.3
  • 12
    • 0027606780 scopus 로고
    • Model-based object tracking in monocular image sequences of road traffic scenes
    • Kollery, D., K. Daniilidisy, and H.-H. Nagelyz. Model-Based Object Tracking in Monocular Image Sequences of Road Traffic Scenes. International Journal of Computer Vision, Vol.10, No.3, 1993, pp. 257-281.
    • (1993) International Journal of Computer Vision , vol.10 , Issue.3 , pp. 257-281
    • Kollery, D.1    Daniilidisy, K.2    Nagelyz, H.-H.3
  • 13
    • 0003743633 scopus 로고
    • Carnegie Mellon University Technical Report CMU-CS-91-132. Carnegie Mellon University, Pittsburgh, Pa.
    • Tomasi, C., and T. Kanade. Detection and Tracking of Point Features. Carnegie Mellon University Technical Report CMU-CS-91-132. Carnegie Mellon University, Pittsburgh, Pa., 1991.
    • (1991) Detection and Tracking of Point Features
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  • 15
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    • Real-Time incremental segmentation and tracking of vehicles at low camera angles using stable features
    • Kanhere, N. K., and S. Birchfield. Real-Time Incremental Segmentation and Tracking of Vehicles at Low Camera Angles Using Stable Features. IEEE Transactions on Intelligent Transportation Systems, Vol.9, No.1, 2008, pp. 148-160.
    • (2008) IEEE Transactions on Intelligent Transportation Systems , vol.9 , Issue.1 , pp. 148-160
    • Kanhere, N.K.1    Birchfield, S.2
  • 22
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    • Accessed July 13, 2008
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.