A clustering-based color model and integral images for fast object tracking

Signal Processing: Image Communication

Volumn 21, Issue 8, 2006, Pages 676-687

  Peihua, Li ^a  

^a Heilongjiang Academy Agricultural Sciences   (China)

Author keywords

Integral image; K means clustering; Object tracking; Similarity measure; Video processing

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COST EFFECTIVENESS; IMAGE ANALYSIS; MATHEMATICAL MODELS;

INTEGRAL IMAGE; K-MEANS CLUSTERING; OBJECT TRACKING; SIMILARITY MEASURE;

OBJECT RECOGNITION;

EID: 33748516741     PISSN: 09235965     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.image.2006.06.002     Document Type: Article

References (23)

1. Birchfield S.T., and Rangarajan S. Spatiograms versus histograms for region-based tracking. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA (June 2005) 1158-1163
2. Cheng H.-D., Jiang X.-H., Sun Y., and Wang J. Color image segmentation: advances and prospects. Pattern Recognition 34 12 (2001) 2259-2281
3. Collins R., and Liu Y. On-line selection of discriminative tracking features. Proceedings of the IEEE Conference on Computer Vision. Nice, France (2003) 346-352
4. Collins R.T. Mean-shift blob tracking through scale space. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2003) 234-241
5. Comaniciu D., Ramesh V., and Meer P. Real-time tracking of non-rigid objects using mean shift. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2000) 142-149
6. Gersho A., and Gray R. Vector Quantization and Signal Compression (1992), Kluwer Publishers, Dordrecht
7. Jain A.K., and Dubes R.C. Algorithms for Clustering Data (1988), Prentice-Hall, Englewood Cliffs, NJ
8. Jain A.K., Murthy M., and Flynn P. Data clustering: a review. ACM Comput. Rev. 31 3 (1999) 264-323
9. PETS2001 datasets, The University of Reading, UK, found at URL: 〈http://peipa.essex.ac.uk/ipa/pix/pets/PETS2001/DATASET5/TESTING/CA MERA1_JPEGS/〉.
10. PETS2001 datasets, The University of Reading, UK, found at URL: 〈http://peipa.essex.ac.uk/ipa/pix/pets/PETS2001/DATASET5/TRAINING/C AMERA1_JPEGS/〉.
11. PETS 2006 dataset S7 camera 4, ISCAPS consortium, found at URL: 〈http://ftp.cs.rdg.ac.uk/PETS2006/S3-T7-A.zip〉.
12. PETS 2006 dataset S7 camera 3, ISCAPS consortium, found at URL: 〈http://ftp.cs.rdg.ac.uk/PETS2006/S3-T7-A.zip〉.
13. Porikli F. Integral histogram. a fast way to extract histograms in cartesian spaces. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA (2005) 829-863
14. Raja Y., McKenna S.J., and Gong S. Colour model selection and adaptation in dynamic scene. Proceedings of the European Conference on Computer Vision (1998) 460-474
15. Stauffer C., and Grimson W.E. Learning patterns of activity using real-time tracking. IEEE Trans. Pattern Anal. Machine Intell. 22 8 (2000) 747-757
16. Stern H., and Efros B. Adaptive color space switching for tracking under varying illumination. Image Vision Comput. 23 3 (2005) 353-364
17. Test image sequences for face tracking by Stan Birchfield, found at URL: 〈http://vision.stanford.edu/birch/headtracker/seq/〉.
18. The EC Funded CAVIAR project/IST 2001 37540, found at URL: 〈http://homepages.inf.ed.ac.uk/rbf/CAVIAR/〉.
19. Viola P., and Jones M. Rapid object detection using a boosted cascade of simple features. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2001) 511-518
20. Wang H., Li P., and Zhang T. Proposal of novel histogram features for face detection. International Conference on Advances in Pattern Recognition. Bath, UK (2005) 334-343
21. Wren C., Azarbayejani A., Darrell T., and Pentland A.P. Pfinder: real-time tracking of the human body. IEEE Trans. Pattern Anal. Machine Intell. 19 7 (1997) 780-785
22. Yang C., Duraiswami R., and Davis L. Efficient mean-shift tracking via a new similarity measure. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2005) 176-183
23. Zhao Q., and Tao H. Object tracking using color correlogram. IEEE Workshop on VS-PETS (2005)