Tunable kernels for tracking

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 2179-2186

  Parameswaran, Vasu ^a   Ramesh, Visvanathan ^a   Zoghlami, Imad ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE DENSITY VARIATIONS; REAL IMAGE SEQUENCES; SPATIAL DEFORMATIONS;

COMPUTATIONAL GEOMETRY; FEATURE EXTRACTION; IMAGE ANALYSIS; ITERATIVE METHODS; OBJECT RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS);

TRACKING (POSITION);

EID: 33845587411     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.317     Document Type: Conference Paper

References (15)

1. S. Birchfleld and S. Rangarajan. Spatiograms versus histograms for region-based tracking. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
2. R. Collins. Mean-shift blob tracking through scale space. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2003.
3. D. Comaniciu. An algorithm for data-driven bandwidth selection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(2):281-288, Feb. 2003.
4. D. Comaniciu and P. Meer. Mean shift: A robust approach toward feature space analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(5):603-619. May 2002.
5. D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(5):564-577, May 2003.
6. A. Elgammal, R. Duraiswami, and L. S. Davis. Probabilistic tracking in joint feature-spatial spaces. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2003.
7. E. Hadjidemetriou, M. D. Grossberg, and S. K. Nayar. Multiresolution histograms and their use for recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(7):831-847, July 2004.
8. G. D. Hager, M. Dewan, and C. Stewart. Multiple kernel tracking with ssd. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2004.
9. A. Jepson, D. Fleet, and T. El-Maraghi. Robust online appearance models for visual tracking. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2001.
10. A. Rao, R. Srihari, and Z. Zhang. Spatial color histograms for content-based image retrieval. Proc. IEEE Intl. Conf. on Tools with Artificial Intelligence, 1999.
11. K. She, G. Bebis, H. Gu, and R. Miller. Vehicle tracking using on-line fusion of color and shape features. Proc. IEEE Conf. on Intelligent Transportation Systems. 2004.
12. J. Wang, B. Thiesson, Y. Xu, and M. Cohen. Image and video segmentation by anisotropic kernel mean shift. Proc. European Conference on Computer Vision, 2004.
13. H. Zhang, Z. Huang, W. Huang, and L. Li. Kernel-based method for tracking objects with rotation and translation. Proc. International Conf. on Pattern Recognition, 2004.
14. Q. Zhao and H. Tao. Object tracking using color correlogram. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
15. Z. Zivkovic and B. Krose. An em-like algorithm for color-histogram-based object tracking. Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2004.