Passenger monitoring in moving bus video

2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Volumn , Issue , 2008, Pages 719-725

  Leoputra, Wilson S ^a   Venkatesh, Svetha ^a   Tan, Tele ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

Bayesian inference; Elliptical human detection; Homography; SIFT Background Model

Indexed keywords

BACKGROUND MODELING; BAYESIAN FRAMEWORKS; BAYESIAN INFERENCE; ELLIPTICAL HUMAN DETECTION; HOMOGRAPHY; ILLUMINATION CHANGES; ILLUMINATION CONDITIONS; MONITORING SYSTEMS; PEOPLE DETECTIONS; PERSON DETECTIONS; PUBLIC TRANSPORTS; SCALE INVARIANT FEATURE TRANSFORMS; SHAPE MODELS; SIFT BACKGROUND MODEL; SIFT FEATURES; STATISTICAL BACKGROUND MODELS; VIDEO DATASETS;

BAYESIAN NETWORKS; BUSES; INFERENCE ENGINES; LIGHTING; ROBOTICS;

COMPUTER VISION;

EID: 64549157978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2008.4795606     Document Type: Conference Paper

References (16)

1. C. Stauffer and W. E. L. Grimson., "Learning Patterns of Activity Using Real-Time Tracking," IEEE Trans. on PAMI, vol. 8, no. 22, pp. 747-757, Aug 2000.
2. A. M. Elgammal, D. Harwood, and L. S. Davis, "Non-parametric Model for Background Subtraction," in ECCV. London, UK: Springer-Verlag, 2000, pp. 751-767.
3. O. Javed, K. Shafique, and M. Shah, "A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information," in MOTION' 2002, Washington, DC, USA, 2002, p. 22.
4. A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, "Background Modeling and Subtraction of Dynamic Scenes," in ICCV '03. Washington, DC, USA: IEEE Computer Society, 2003, p. 1305.
5. C. Papageorgiou and T. Poggio, "Trainable Pedestrian Detection," in ICIP, 1999, pp. IV:35-39.
6. P. Viola and M. Jones, "Robust Real-time Object Detection," IJCV - to appear, 2002.
7. D. Gavrila and V. Philomin, "Real-Time Object Detection for Smart Vehicles," in ICCV'99, 1999, pp. 87-93.
8. Zhe Lin, Larry S. Davis, and David Doermann, "Hierarchical PartTemplate Matching for Human Detection and Segmentation," in ICCV'07, 2007.
9. D. G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int. J. Comput. Vision, vol. 60, no. 2, pp. 91-110, 2004.
10. S. Birchfield, "Elliptical Head Tracking Using Intensity Gradients and Color Histograms," in CVPR '98, Jun 1998, pp. 232-237.
11. B. Wu and R. Nevatia, "Detection of Multiple, Partially Occluded Humans in a SingleImage by Bayesian Combination of Edgelet Part Detectors." in ICCV, 2005, pp. 90-97.
12. N. Dalal and B. Triggs, "Histograms of Oriented Gradients for Human Detection," in ICCV' 2005, vol. 2, INRIA Rhône-Alpes, ZIRST-655, av. de l'Europe, Montbonnot-38334, June 2005, pp. 886-893.
13. B. Leibe, E. Seemann, and B. Schiele, "Pedestrian Detection in Crowded Scenes," in CVPR' 2005, San Diego, California, USA, June 2005, pp. 878-885.
14. R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. Cambridge University Press, ISBN: 0521540518, 2004.
15. M. A. Fischler and R. C. Bolles, "Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography," Commun. ACM, vol. 24, no. 6, pp. 381-395, 1981.
16. Y. Zhou and T. S. Huang, "Weighted Bayesian Network for Visual Tracking," in ICPR, 2006, pp. 523-526.