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Volumn 27, Issue 9, 2006, Pages 956-967

Moving vehicles segmentation based on Bayesian framework for Gaussian motion model

Author keywords

Gaussian motion model; Intelligent transportation system; Moving objects segmentation; Vehicles detection

Indexed keywords

CAMERAS; GROUND VEHICLES; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MOTION ESTIMATION; VIBRATIONS (MECHANICAL);

EID: 33646132030     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.12.013     Document Type: Article
Times cited : (35)

References (18)
  • 1
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J. Royal Statist. Soc., Ser. B 39 (1977) 1-38
    • (1977) J. Royal Statist. Soc., Ser. B , vol.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 2
    • 33645307063 scopus 로고    scopus 로고
    • Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.S., 2002. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. In: Proc. IEEE 90, 1151-1163.
  • 3
    • 33646143088 scopus 로고    scopus 로고
    • Friedman, N., Russell, S., 1997. Image segmentation in video sequences: A probabilistic approach. In: Proc. of 13th Conf. on Uncertainty in Artificial Intelligence, pp. 175-181.
  • 4
    • 0344084408 scopus 로고    scopus 로고
    • Fung, G.S.K., Yung, N.H.C., Pang, G.K.H., 2003. Camera calibration from road lane markings. In: Proc. SPIE Optical Engineering, 42, pp. 2967-2977.
  • 6
    • 3242697993 scopus 로고    scopus 로고
    • Neural-edge-based vehicle detection and traffic parameter extraction
    • Ha D.M., Lee J.-M., and Kim Y.-D. Neural-edge-based vehicle detection and traffic parameter extraction. Image Vision Comput. 22 (2004) 899-907
    • (2004) Image Vision Comput. , vol.22 , pp. 899-907
    • Ha, D.M.1    Lee, J.-M.2    Kim, Y.-D.3
  • 7
    • 0033191764 scopus 로고    scopus 로고
    • Lee, K.-W., Kim, J., 1999. Moving object segmentation based on statistical motion model. In Electronics Letters. 35, pp. 1719-1720.
  • 8
    • 7444243389 scopus 로고    scopus 로고
    • Statistical modeling of complex backgrounds for foreground object detection
    • Li L.Y., Huang W.M., Gu I.Y.H., and Tian Q. Statistical modeling of complex backgrounds for foreground object detection. IEEE Trans. Image Process. 13 (2004) 1459-1472
    • (2004) IEEE Trans. Image Process. , vol.13 , pp. 1459-1472
    • Li, L.Y.1    Huang, W.M.2    Gu, I.Y.H.3    Tian, Q.4
  • 9
    • 0344983250 scopus 로고    scopus 로고
    • Monnet, A., Mittal, A., Paragios, N., Ramesh, V., 2003. Background modeling and subtraction of dynamic scenes. In ICCV 2, pp. 1305-1312.
  • 10
    • 0018306059 scopus 로고
    • A threshold selection method from Gray-level histograms
    • Otsu N. A threshold selection method from Gray-level histograms. IEEE Trans. Syst., Man, Cyber. 9 1 (1979) 62-69
    • (1979) IEEE Trans. Syst., Man, Cyber. , vol.9 , Issue.1 , pp. 62-69
    • Otsu, N.1
  • 11
    • 0041508620 scopus 로고    scopus 로고
    • A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes
    • Pakorn K.T.P., and Richard B. A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes. Image Vision Comput. 21 (2003) 913-929
    • (2003) Image Vision Comput. , vol.21 , pp. 913-929
    • Pakorn, K.T.P.1    Richard, B.2
  • 12
    • 0041941111 scopus 로고    scopus 로고
    • Pless, R., Larson, J., Siebers, S., Westover, B., 2003. Evaluation of local models of dynamic backgrounds. In CVPR 2, pp. I/73-I/78.
  • 13
    • 0041439660 scopus 로고    scopus 로고
    • Seki, M., Wada, T., Fujiwara, H., Sumi, K., 2003. Background Subtraction based on Cooccurrence of Image Variations. In CVPR 2, pp. II/65-II/72.
  • 14
    • 0032634283 scopus 로고    scopus 로고
    • Stauffer, C., Grimson, W.E.L., 1999. Adaptive background mixture models for real-time tracking. In CVPR 2, pp. 246-252.
  • 15
    • 84945191282 scopus 로고    scopus 로고
    • Stefano, L.D., Mattoccia, S., Mola, M., 2003. A Change-Detection Algorithm Based on Structure and Color. In: Proc. of the IEEE Int. Conf. on Advanced Video and Signal Based Surveillance, pp. 252-259.
  • 16
    • 3042732138 scopus 로고    scopus 로고
    • Hierarchical GMM to handle sharp changes in moving object detection
    • Sun Y., and Yuan B. Hierarchical GMM to handle sharp changes in moving object detection. Electron. Lett. 40 (2004) 801-802
    • (2004) Electron. Lett. , vol.40 , pp. 801-802
    • Sun, Y.1    Yuan, B.2
  • 17
    • 84890517964 scopus 로고    scopus 로고
    • Toth, D., Aach, T., 2003. Detection and recognition of moving objects using statistical motion detection and Fourier descriptors. In ICIAP, pp. 430-435.
  • 18
    • 85139268588 scopus 로고    scopus 로고
    • Toyama, K., Krumm, J., Brumitt, B., Meyers, B., 1999. Wallflower: Principles and practice of background maintenance. In ICCV, 1, pp. 255-261.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.