People detection in low resolution infrared videos

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Miezianko, Roland ^a   Pokrajac, Dragoljub ^b  

^a HONEYWELL TECHNOLOGY CENTER   (United States)

^b DELAWARE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE PROCESSING; PATTERN RECOGNITION; RECURSIVE FUNCTIONS;

DATA-SETS; DESCRIPTOR; DESCRIPTORS; FEATURE SETS; FEATURE VECTOR; LINEAR SVM; LOW RESOLUTION; PARAMETER TUNING; PEOPLE DETECTION; RELATIVE POSITIONING;

GRADIENT METHODS;

EID: 51849100263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4563056     Document Type: Conference Paper

References (20)

1. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1, pages 886-893, Washington, DC, USA, 2005. IEEE Computer Society.
2. J. Davis and M. Keck. A two-stage approach to person detection in thermal imagery. In Proc. Workshop on Applications of Computer Vision, 2005.
3. J. Davis and V. Sharma. Background-subtraction using contour-based fusion of thermal and visible imagery. In Computer Vision and Image Understanding, volume 106, pages 162-182, 2007.
4. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In In Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003.
5. W. Freeman and M. Roth. Orientation histogram for hand gesture recognition, pages 296-301, 1995.
6. W. T. Freeman, K. Tanaka, J. Ohta, and K. Kyuma. Computer vision for computer games. In Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition, page 100, Washington, DC, USA, 1996. IEEE Computer Society.
7. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2169-2178, 2006.
8. K. Levi and Y. Weiss. Learning object detection from a small number of examples: The importance of good features. In IEEE Conference on Computer Vision and Pattern Recognition, pages 53-60, 2004.
9. A. Leykin, Y. Ran, and R. I. Hammoud. Thermal-visible video fusion for moving target tracking and pedestrian classification. In OTCBVS07, pages 1-8, 2007.
10. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, November 2004.
11. R. Miezianko. IEEE OTCBVS WS series bench. In Terravic Research Infrared Database, 2006.
12. K. Mikolajczyk and C. Schmid. Scale and affine invariant interest point detectors. IJCV, 60(1):63-86, October 2004.
13. A. Mohan, C. Papageorgiou, and T. Poggio. Example-based object detection in images by components. IEEE Trans. Pattern Anal. Mach. Intell., 23(4):349-361, 2001.
14. C. Papageorgiou and T. Poggio. A trainable system for object detection. Int. J. Comput. Vision, 38(1):15-33, 2000.
15. P. Sabzmeydani and G. Mori. Detecting pedestrians by learning shapelet features. In CVPR07, pages 1-8, 2007.
16. O. Tuzel, F. M. Porikli, and P. Meer. Human detection via classification on riemannian manifolds. In CVPR07, pages 1-8, 2007.
17. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In In CVPR, volume 1, pages 511-518, 2001.
18. B. Wu and R. Nevatia. Tracking of multiple, partially occluded humans based on static body part detection. In CVPR06, pages 951-958, 2006.
19. L. Zhang, R. Nevatia, and B. Wu. Pedestrian detection in infrared images based on local shape features. In OTCBVS07, pages 1-8, 2007.
20. J. Zhou and J. Hoang. Real time robust human detection and tracking system. In OTCBVS05, pages 149-149, 2005.