A warping window approach to real-time vision-based pedestrian detection in a truck's blind spot zone

ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics

Volumn 2, Issue , 2012, Pages 561-568

  Van Beeck, Kristof ^a   Goedemé, Toon ^a,b   Tuytelaars, Tinne ^b  

^a Campus de Nayer ^*  (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Active safety systems; Computer vision; Pedestrian tracking; Real time

Indexed keywords

BLIND SPOTS; CAMERA IMAGES; COMPLETE SOLUTIONS; DATA SETS; PEDESTRIAN DETECTION; PEDESTRIAN TRACKING; REAL TIME PERFORMANCE; REAL-TIME; ROAD USERS; SPECIFIC PROBLEMS; TIME CONSTRAINTS; TRACKING ALGORITHM; VISION BASED; VISION SENSORS;

ACTIVE SAFETY SYSTEMS; ALARM SYSTEMS; ALGORITHMS; CAMERAS; COMPUTER VISION; DATA PROCESSING; INFORMATION SCIENCE; TRACKING (POSITION); TRUCK DRIVERS; TRUCKS;

ROBOTICS;

EID: 84867734439     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Dalal, N. and Triggs, B. (2005). Histograms of oriented gradients for human detection. In International Conference on Computer Vision & Pattern Recognition, volume 2, pages 886-893.
2. Dollár, P., Belongie, S., and Perona, P. (2010). The fastest pedestrian detector in the west. In Proceedings of the British Machine Vision Conference, pages 68.1-68.11.
3. Dollár, P., Wojek, C., Schiele, B., and Perona, P. (2009). Pedestrian detection: A benchmark. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
4. Dollár, P., Wojek, C., Schiele, B., and Perona, P. (2011). Pedestrian detection: An evaluation of the state of the art. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 99.
5. Enzweiler, M. and Gavrila, D. M. (2009). Monocular pedestrian detection: Survey and experiments. 31(12):2179-2195.
6. Ess, A., Leibe, B., Schindler, K., and Gool, L. V. (2008). A mobile vision system for robust multi-person tracking. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
7. EU (22 february 2006). Commision of the european communities, european road safety action programme: mid-term review.
8. Felzenszwalb, P., Girschick, R., and McAllester, D. (2010). Cascade object detection with deformable part models. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
9. Felzenszwalb, P., McAllester, D., and Ramanan, D. (2008). A discriminatively trained, multiscale, deformable part model. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
10. Gavrila, D. and Munder, S. (2007). Multi-cue pedestrian detection and tracking from a moving vehicle. In International Journal of Computer Vision, volume 73, pages 41-59.
11. Kalman, R. (1960). A new approach to linear filtering and prediction problems. In Transaction of the ASME Journal of Basic Engineering, volume 82, pages 35-45.
12. Lampert, C., Blaschko, M., and Hoffmann, T. (2009). Efficient subwindow search: A branch and bound framework for object localization. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 31, pages 2129-2142.
13. Martensen, H. (2009). Themarapport vrachtwagenongevallen 2000-2007 (BIVV).
14. Seitner, F. and Hanbury, A. (2006). Fast pedestrian tracking based on spatial features and colour. In Proceedings of the 11th Computer Vision Winter Workshop, pages 105-110.
15. Van Beeck, K., Goedemé, T., and Tuytelaars, T. (2011). Towards an automatic blind spot camera: Robust real-time pedestrian tracking from a moving camera. In Proceedings of the twelfth IAPR Conference on Machine Vision Applications, pages pp. 528-531.
16. Viola, P. and Jones, M. (2001). Rapid object detection using a boosted cascade of simple features. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 511-518.
17. Viola, P., Jones, M., and Snow, D. (2005). Detecting pedestrians using patterns of motion and appearance. In International Journal of Computer Vision, volume 63, pages 153-161.