메뉴 건너뛰기




Volumn 112, Issue 3, 2008, Pages 296-309

Robust object tracking with background-weighted local kernels

Author keywords

Kernel tracking; Mean shift; Object tracking

Indexed keywords

ACTIVITY ANALYSIS; BACKGROUND COLORS; EDGE INFORMATIONS; ILLUMINATION CHANGES; JOINT HISTOGRAMS; KERNEL TRACKING; MEAN SHIFT; MEAN SHIFTS; MULTIPLE OBJECT TRACKING; OBJECT TRACKING; PARTIAL OCCLUSIONS; SCALE VARIATIONS; STABLE MODELS; TRACKING OBJECTS; VISUAL SURVEILLANCES; VISUAL TRACKING;

EID: 54949157159     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2008.05.005     Document Type: Article
Times cited : (84)

References (27)
  • 1
    • 48149095078 scopus 로고    scopus 로고
    • J. Jeyakar, R.V. Babu, K.R. Ramakrishnan, Robust object tracking using local kernels and background information, in: IEEE International Conference on Image Processing, vol. 5, 2007, pp. 49-52.
    • J. Jeyakar, R.V. Babu, K.R. Ramakrishnan, Robust object tracking using local kernels and background information, in: IEEE International Conference on Image Processing, vol. 5, 2007, pp. 49-52.
  • 2
    • 5044227137 scopus 로고    scopus 로고
    • G.D. Hager, M. Dewan, C. Stewart, Multiple kernel tracking with ssd, in: Computer Vision and Pattern Recognition, vol. 1, 2004, pp. 791-797.
    • G.D. Hager, M. Dewan, C. Stewart, Multiple kernel tracking with ssd, in: Computer Vision and Pattern Recognition, vol. 1, 2004, pp. 791-797.
  • 4
    • 21644474666 scopus 로고    scopus 로고
    • Optical flow-based real-time object tracking using non-prior training active feature model
    • Shin J., Kim S., Kang S., Lee S.-W., Paik J., Abidi B., and Abidi M. Optical flow-based real-time object tracking using non-prior training active feature model. Real-Time Imaging 11 3 (2005) 204-218
    • (2005) Real-Time Imaging , vol.11 , Issue.3 , pp. 204-218
    • Shin, J.1    Kim, S.2    Kang, S.3    Lee, S.-W.4    Paik, J.5    Abidi, B.6    Abidi, M.7
  • 5
    • 0032119085 scopus 로고    scopus 로고
    • Temporal video segmentation using unsupervised clustering and semantic object tracking
    • Gunsel B., Ferman A., and Tekalp A. Temporal video segmentation using unsupervised clustering and semantic object tracking. Journal of Electronic Imaging 7 3 (1998) 592-604
    • (1998) Journal of Electronic Imaging , vol.7 , Issue.3 , pp. 592-604
    • Gunsel, B.1    Ferman, A.2    Tekalp, A.3
  • 6
    • 0028112849 scopus 로고    scopus 로고
    • J. Shi, C. Tomasi, Good features to track, in: IEEE Conference on Computer Vision and Pattern Recognition, 1994, pp. 593-600.
    • J. Shi, C. Tomasi, Good features to track, in: IEEE Conference on Computer Vision and Pattern Recognition, 1994, pp. 593-600.
  • 7
    • 9644269644 scopus 로고    scopus 로고
    • Contour-based object tracking with occlusion handling in video acquired using mobile cameras
    • Yilmaz A., Xin L., and Shah M. Contour-based object tracking with occlusion handling in video acquired using mobile cameras. Transactions on Pattern Analysis and Machine Intelligence 26 11 (2004) 1531-1536
    • (2004) Transactions on Pattern Analysis and Machine Intelligence , vol.26 , Issue.11 , pp. 1531-1536
    • Yilmaz, A.1    Xin, L.2    Shah, M.3
  • 9
    • 33749605478 scopus 로고    scopus 로고
    • Multiple object tracking and occlusion handling by information exchange between uncalibrated cameras
    • Velipasalar S., and Wolf W. Multiple object tracking and occlusion handling by information exchange between uncalibrated cameras. IEEE International Conference on Image Processing 2 (2005) 428
    • (2005) IEEE International Conference on Image Processing , vol.2 , pp. 428
    • Velipasalar, S.1    Wolf, W.2
  • 10
    • 54949158343 scopus 로고    scopus 로고
    • R. Collins, A. Lipton, T. Kanade, A system for video surveillance and monitoring, Tech. Report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University.
    • R. Collins, A. Lipton, T. Kanade, A system for video surveillance and monitoring, Tech. Report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University.
  • 13
    • 0002836012 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • Lucas B.D., and Kanade T. An iterative image registration technique with an application to stereo vision. Proceedings of Imaging understanding workshop (1981) 121-130
    • (1981) Proceedings of Imaging understanding workshop , pp. 121-130
    • Lucas, B.D.1    Kanade, T.2
  • 14
    • 0001460136 scopus 로고    scopus 로고
    • On sequential monte carlo sampling methods for bayesian filtering
    • Doucet A., Godsill S., and Andrieu C. On sequential monte carlo sampling methods for bayesian filtering. Statistics and Computing (2000) 197-208
    • (2000) Statistics and Computing , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 15
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • Isard M., and Blake A. Condensation-conditional density propagation for visual tracking. International Journal of Computer Vision 29 1 (1998) 5-28
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 20
    • 34248580417 scopus 로고    scopus 로고
    • Robust tracking with motion estimation and local kernel-based color modeling
    • Babu R.V., Pérez P., and Bouthemy P. Robust tracking with motion estimation and local kernel-based color modeling. Image and Vision Computing 25 (2007) 1205-1216
    • (2007) Image and Vision Computing , vol.25 , pp. 1205-1216
    • Babu, R.V.1    Pérez, P.2    Bouthemy, P.3
  • 21
    • 33646788072 scopus 로고    scopus 로고
    • S.T. Birchfield, S. Rangarajan, Hybrid particle filter and mean shift tracker with adaptive transition model, IEEE International Conference on Acoustics, Speech, and Signal Processing (2005) 221-224.
    • S.T. Birchfield, S. Rangarajan, Hybrid particle filter and mean shift tracker with adaptive transition model, IEEE International Conference on Acoustics, Speech, and Signal Processing (2005) 221-224.
  • 22
    • 33845194457 scopus 로고    scopus 로고
    • Z. Zhu, Q. Ji, K. Fujimura, K. Lee, Combining kalman filtering and mean shift for real time eye tracking under active IR illumination, in: IEEE International Conference on Pattern Recognition, vol. 4, 2002, p. 40318.
    • Z. Zhu, Q. Ji, K. Fujimura, K. Lee, Combining kalman filtering and mean shift for real time eye tracking under active IR illumination, in: IEEE International Conference on Pattern Recognition, vol. 4, 2002, p. 40318.
  • 24
    • 56649117175 scopus 로고    scopus 로고
    • A. Lehuger, P. Lechat, P. Pérez, An adaptive mixture color model for robust visual tracking, in: Proc. Int. Conf. on Image Processing (ICIP'06).
    • A. Lehuger, P. Lechat, P. Pérez, An adaptive mixture color model for robust visual tracking, in: Proc. Int. Conf. on Image Processing (ICIP'06).
  • 27
    • 54949159124 scopus 로고    scopus 로고
    • G.R. Bradski, Computer vision face tracking for use in a perceptual user interface, Intel Technology Journal, 2nd Quarter.
    • G.R. Bradski, Computer vision face tracking for use in a perceptual user interface, Intel Technology Journal, 2nd Quarter.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.