Visual tracking by partition-based histogram backprojection and maximum support criteria

2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

Volumn , Issue , 2011, Pages 2860-2865

  Lee, Jae Yeong ^a   Yu, Wonpil ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BACK-PROJECTION; COMPLEX ENVIRONMENTS; DENSITY ESTIMATES; MEAN SHIFT; MULTIPLE PATCHES; OBJECT MODEL; PARTIAL OCCLUSIONS; REAL TIME PERFORMANCE; TARGET OBJECT; TRACKING ACCURACY; TRACKING PERFORMANCE; VIDEO SEQUENCES; VISUAL OBJECT TRACKING; VISUAL TRACKING;

BIOMIMETICS; GRAPHIC METHODS; ROBOTICS; STATISTICAL METHODS; TEMPLATE MATCHING;

PIXELS;

EID: 84860710449     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBIO.2011.6181739     Document Type: Conference Paper

References (13)

1. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 798-805, 2006.
2. B. Babenko, M. Yang, and S. Belongie, Visual tracking with online multiple instance learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 983-990, December 2010.
3. D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(5):603-619, May 2002. (Pubitemid 34550429)
4. D. Comaniciu, V. Ramesh, and P. Meer, Kernel-based object tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, pp. 564-575, 2003.
5. J. Kwon and K.M. Lee, "Visual tracking decomposition", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1269-1276, 2010.
6. D. A. Ross, J. Lim, R. Lin, and M. Yang, Incremental Learning for Robust Visual Tracking. International Journal of Computer Vision, vol.77, pp. 125-141, August 2008.
7. The PASCAL Visual Object Classes (VOC) Challenge, http://pascallin.ecs. soton.ac.uk/challenges/VOC/
8. L. D. Bourdev, S. Maji, T. Brox, and J. Malik, "Detecting People Using Mutually Consistent Poselet Activations", in Proc. European Conf. on Computer Vision (ECCV), pp. 168-181, 2010.
9. C. Gu, J. Lim, P. Arbelaez and J. Malik, "Recognition using Regions", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2009.
10. P. Prez, C. Hue, J. Vermaak and M. Gangnet, "Color-Based Probabilistic Tracking", in Proc. European Conf. on Computer Vision (ECCV), pp. 661-675, 2002.
11. C. Yang, R. Duraiswami, and L. Davis, "Efficient mean-shift tracking via a new similarity measure", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.
12. S. Birchfield and S. Rangarajan, "Spatiograms vs. histograms for region based tracking", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.
13. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2005.