Unsupervised incremental learning for improved object detection in a video

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

Volumn , Issue , 2012, Pages 3298-3305

  Sharma, Pramod ^a   Huang, Chang ^b   Nevatia, Ram ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FALSE ALARMS; GENERALIZED DETECTOR; INCREMENTAL LEARNING; LOSS FUNCTIONS; MULTIPLE-INSTANCE LEARNING; OBJECT DETECTION; OFFLINE; SAMPLE COLLECTION; STATE OF THE ART; SUPERVISED LEARNING METHODS; TRAINING EXAMPLE;

ADAPTIVE BOOSTING; DETECTORS; LEARNING SYSTEMS; OBJECT RECOGNITION;

COMPUTER VISION;

EID: 84866692736     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6248067     Document Type: Conference Paper

References (20)

1. http://www.chokkan.org/software/liblbfgs/. 6
2. http://www.eecs.qmul.ac.uk/~andrea/avss2007-d.html, 2004. 1, 3, 6
3. M. Andriluka, S. Roth, and B. Schiele. People-tracking-bydetection and people-detection-by-tracking. In CVPR, 2008. 1, 3, 6, 7, 8
4. B. Babenko, M.-H. Yang, and S. Belongie. Visual Tracking with Online Multiple Instance Learning. In CVPR, 2009. 1, 2
5. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In In CVPR, 2005. 1
6. T. B. Dinh, N. Vo, and G. G. Medioni. Context tracker: Exploring supporters and distracters in unconstrained environments. In CVPR, 2011. 2
7. H. Grabner and H. Bischof. On-line boosting and vision. In CVPR, 2006. 2
8. C. Huang, H. Ai, B.Wu, and S. Lao. Boosting nested cascade detector for multi-view face detection. In ICPR, 2004. 2
9. C. Huang, H. Ai, T. Yamashita, S. Lao, and M. Kawade. Incremental learning of boosted face detector. In ICCV, 2007. 2, 3, 4, 5, 7, 8
10. C. Huang and R. Nevatia. High performance object detection by collaborative learning of joint ranking of granules features. In CVPR, 2010. 1, 6, 7, 8
11. C. Huang, B. Wu, and R. Nevatia. Robust object tracking by hierarchical association of detection responses. In ECCV, 2008. 6, 7
12. O. Javed, S. Ali, and M. Shah. Online detection and classification of moving objects using progressively improving detectors. In CVPR, 2005. 1, 2
13. Z. Kalal, J. Matas, and K. Mikolajczyk. P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints. CVPR, 2010. 2
14. A. Levin, P. A. Viola, and Y. Freund. Unsupervised improvement of visual detectors using co-training. In ICCV, 2003. 1, 2
15. N. C. Oza and S. Russell. Online bagging and boosting. In In Artificial Intelligence and Statistics 2001. Morgan Kaufmann, 2001. 2
16. R. E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Mach. Learn., 37:297-336, December 1999. 2, 3
17. S. Stalder, H. Grabner, and L. Van Gool. Cascaded confidence filtering for improved tracking-by-detection. In ECCV, Berlin, Heidelberg, 2010. Springer-Verlag. 2, 7, 8
18. P. Viola, J. C. Platt, and C. Zhang. Multiple instance boosting for object detection. In In NIPS 18. MIT Press, 2006. 1
19. B.Wu and R. Nevatia. Improving part based object detection by unsupervised, online boosting. In CVPR, 2007. 1, 2
20. B. Zeisl, C. Leistner, A. Saffari, and H. Bischof. On-line semi-supervised multiple-instance boosting. In CVPR, 2010. 1, 2