A review on vision-based pedestrian detection for intelligent vehicles

2006 IEEE International Conference on Vehicular Electronics and Safety, ICVES

Volumn , Issue , 2006, Pages 57-62

  Li, Zhenjiang ^a   Wang, Kunfeng ^a   Li, Li ^b   Wang, Fei Yue ^b,c  

^a INSTITUTE OF AUTOMATION   (China)

^b University of Arizona   (United States)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Pedestrian detection; Pedestrian tracking; Vehicular electronics; Vision based driver assistance

Indexed keywords

AUTOMOBILE DRIVERS; AUTOMOBILE ELECTRONIC EQUIPMENT; AUTOMOBILE PARTS AND EQUIPMENT; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; OBJECT RECOGNITION; VEHICLES;

DRIVING SAFETY; INTERNATIONAL CONFERENCES; MOVING VEHICLES; PEDESTRIAN DETECTION; PEDESTRIAN TRACKING; SMART VEHICLES; VEHICULAR ELECTRONICS; VISION-BASED; VISION-BASED DRIVER ASSISTANCE; VISION-BASED SYSTEMS;

PEDESTRIAN SAFETY;

EID: 50249130143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICVES.2006.371554     Document Type: Conference Paper

References (53)

1. D. M. Gavrila, J. Giebel and S. Munder, "Vision-Based Pedestrian Detection: The PROTECTOR System", IEEE Intelligent Vehicle Symposium, 2004.
2. Philippe, Marchal, Dariu, Gavrila, Laurent, Letellier, Marc Michael, Meinecke, Richard, Morris, Mathias, Tons, "SAVE-U: An innovative sensor platform for Vulnerable Road User protection", Intelligent Transport Systems and Services, 2003.
3. D. M. Gavrila, "The visual analysis of human movement: a survey", Comp. Vis. Image Underst, vol. 73(1), pp. 82-98, 1999.
4. P. Lombardi, "A survey on pedestrian detection for autonomous driving systems", Technical report, 2001.
5. C. Bregler, "Learning and recognizing human dynamics in video sequences", IEEE Conf. Comp. Vis. Patt. Rec, SanJuan, Puerto, Rico, pp. 568-574, 1997.
6. H. Elzein, et. al., "A motion and shape-based pedestrian detection algorithm", In Proc. of the IEEE Intell. Veh. Symp., pages 500-504, Ohio, USA, 2003.
7. R. Cutler and L. Davis, "Robust real-time, periodic motion detection, analysis and applications", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No, 8, pp. 781-796, 2000.
8. T. Hashiyama, D. Mochizuki, Y. Yano and S. Okuma, "Active Frame Subtraction for Pedestrian Detection from Images of Moving Camera", in Proc. of IEEE, Intl. Conference on Systems, Man and Cybernetics, pp. 480-485, 2003.
9. SA Niyogi, EH Adelson,"Analysing and recognising walking figures in XYT", IEEE Conf. Comp. Vis. Patt.Rec., pp. 469-474, 19, 94.
10. Kazumi Fujimoto. Et. al. "A study on pedestrian detection technology using stereo images". JSAE Review 23 (2002) 383-385.
11. H. Yanai, Y. Takane, "Multivariate Analysis", Asakura Shoten, Tokyo, 1992 (in Japanese).
12. U. Franke and S. Heinrich, "Fast Obstacle Detection for Urban Traffic Situations'', IEEE Transactions on Intelligent Transportation Systems, Vol. 3, No. 3, pp. 173-181, 2002.
13. C. Curio, J. Edelbrunner, T. Kalinke, C. Tzomakas, W. von Seelen, "Walking pedestrian recognition", IEEE Trans Int Transp. Sys, vol. 1(3), pp. 155-163, 2000.
14. A. Broggi, M.Bertozzi, A. Fascioli, M. Sechi, "Shape-based pedestrian detection", Proc. IEEE Intell. Veh. Symp., pp215-220, 2000.
15. D.M.Gavrila, "Pedestrian Detection from a Moving Vehicle", Proc. of the European Conference on Computer Vision, pp. 37-49, Dublin, 2000.
16. Franke, U., Kutzbach, I., "Fast stereo based object detection for stop&go traffic", In: Intelligent Vehicles Symposium, Tokyo, pp. 339-344, 1996.
17. L. Zhao, C. Thorpe, "Stereo and neural network based pedestrian detection", IEEE Trans., Int. Transp. Sys., 1(3), pp.148-154, 1999.
18. S. Yasutomi and H. Mori, "A Method for Discriminating of Pedestrian Based on Rhythm", in Proc. of IEEE Intl. Conference on Intelligent Robots and Systems, pp. 988-995, 1994.
19. C. Wohler, U. Kressler, J. K. Anlauf, "Pedestrian recognition by classification of image sequences. Global Approaches vs local spatio-temporal processing", Proc. IEEE Int. Conf. Patt. Rec., Barcelona, Spain, 2000.
20. C. Wohler, J. K. Anlauf. An Adaptable Time Delay Neural Network Algorithm for Image Sequence Analysis.IEEE Transactions on Neural Networks, vol. 10,no. 6, pp. 1531-1, 536, 1999.
21. T. Poggio and F. Girosi. "Networks for approximation and learning", Proc. of the IEEE, 78(9):1481-1497, 1990.
22. H. Murase and V. V. Vinod "Fast Visual Search Using Color Matching-Active Search", The Transactions of the Institute of Electronics, Information and Communication Engineers D- II Vol.J81-D- II No.9 pp.2035-2042, 1998.
23. Y. Abramson and B. Steux, "Hardware-friendly pedestrian detection and impact prediction," Intelligent Vehicles Symposium, 2004. Proceedings. IEEE, June 2004.
24. Yoav Freund and Robert E. Schapire. "A decision-theoretic generalization of on-line learning and an application to boosting." In Computational Learning Theory: Eurocolt '95, pages 23-37. Springer-Verlag, 1995.
25. A. Shashua, Y. Gdalyahu and G. Hayun, "Pedestrian Detection for Driving Assistance Systems; Single-frame Classification and System Level Performance" in Proc. of IEEE Intelligent Vehicle, Symposium, 2004.
26. Massimo Bertozzi, Alberto Broggi, Alessandra Fascioli, and Paolo Lombardi, "Vision-based Pedestrian Detection: will Ants Help?", In Procs. IEEE Intelligent Vehicles Symposium 2002, volume 1, pages 1-7, Paris, France, June 2002.
27. M. Dorigo and G. Di Caro, "The ant colony optimization meta-heuristic," in New Ideas in Optimization (D. Corne, M. Dorigo, and F. Glover, eds.), pp. 11-32, London, UK: McGraw-Hill, 1999.
28. P. Sinha, E. Osuna, M. Oren, C, Papageorgiou and T. Poggio. "Pedestrian detection using wavelet templates", In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, pages 193-199, Puerto Rico, June 16-20 1997.
29. P.Papageorgiou and Tomaso Poggio. "Trainable pedestrian detection", in Proceedings, International Conference on Image Processing, volume 4, pages 35-39, 1999.
30. A. Mohan, C. Papageorgiou, T. Poggio, "Example-based object detection, in images by components", IEEE Trans. Patt. An. Mach. Int., vol. 23(4), pp. 349-361, 2001.
31. Isard M and Blake A, "Condensation-conditional density propagation for visual tracking", International Journal Of Computer Vision, 29 (1): 5-28, 1998.
32. V. Philomin,R. Duraiswami and L. Davis, "Pedestrian tracking from a moving vehicle," IEEE Intelligent Vehicles Symposium, pp. 350-355, 2000.
33. D.Gavrila and J.Giebel, "Shape-based Pedestrian Detection and Tracking", IEEE Intelligent Vehicle Symposium, 2002.
34. M. Bertozzi, A. Broggi, A. Fascioli, A. Tibaldi, R. Chapuis, and F. Chausse. "Pedestrian Localization and Tracking System with Kalman Filtering", IEEE Intelligent Vehicles Symposium, June 2004.
35. P. Lombardi and B. Zavidovique, "A Context-Dependent Vision System for Pedestrian Detection", IEEE Intelligent Vehicle Symposium, pp578-583, 2004.
36. Wolfgang Raab, Nico Brills, J. A. Ulrich Hachmann, Jens Harnisch, Ulrich Ramacher, Christian Sauer, Axel Techmer, "A 100-GOPS Programmable Processor for Vehicle Vision Systems". IEEE Design & Test of Computers 20(1): 8-16, 2003.
37. A. Elouardi, S. Bouaziz, A. Dupret, X Klein and R. Reynaud, "On Chip Vision System Architecture Using a CMOS Retina", IEEE Intelligent Vehicle Symposium, pp206-211, 2004.
38. P. Viola, M. Jones and D. Snow, "Detecting Pedestrians Using Patterns of Motion and Appearance", in Proc. of the 9th IEEE Intl. Conference on Computer Vision, pp.734-741 2003.
39. Neal Checka, "Fast Pedestrian Detection from a Moving Vehicle", Proceeings of the 2004 Student Oxygen Workshop, 2004.
40. Massimo Bertozzi, Alberto Broggi, Roland Chapuis, Frédéric Chausse, Alessandra Fascioli, and Amps Tibaldi, "Shape-based pedestrian detection and localization", In Procs. IEEE Intl. Conf. on Intelligent Transportation Systems 2003
41. D. M. Gavrila, M. Kunert and U. Lages, "A multi-sensor approach for the protection of vulnerable traffic participants - the PROTECTOR project", Proc. of the IEEE Instrumentation and Measurement Technology Conference, vol. 3, pp. 2044-2048, Budapest, Hungary, 2001.
42. U. Handmanna, T. Kalinkea, C. Tzomakasa, M. Wernerb, W.v. Seelena, "An image processing system for driver assistance", Image and Vision Computing 18, 367-376, 2000.
43. S. Heinrich, "Fast Obstacle Detection using Flow/Depth Constraint," in Procs. IEEE Intelligent Vehicles Symposium, 2002.
44. Mochizuki, Hashiyama, Okuma, "Pedestrian Detection Using a CCD Camera and Gyrosensor on a Vehicle", 41st SICE Annual Conference, Page(s): 2469-2473 Vol. 2002.
45. D. M. Gavrila, U. Franke, S. Görzig and C. Wohler, "Real-time Vision for Intelligent Vehicles", IEEE Instrumentation and Measurement Magazine, vol.4, nr.2, pp.22-27, June, 2001.
46. D. M. Gavrila and V. Philomin, "Real-time Object Detection for Smart Vehicles", Proc. of IEEE International Conference on Computer Vision, pp. 87-93, Kerkyra, Greece, 1999.
47. D. M. Gavrila, "Sensor-based Pedestrian Protection", IEEE Intelligent Systems, vol.16, nr.6, pp.77-81, 2001.
48. Wei-Chung Hsieh, Li-Chen Fu, Shin-Shinh Huang, "Vision Based Obstacle Warning System for On-Road Driving", Intl. Conference on Intelligent Robots and Systems, October 2003.
49. O. Masoud, N. P. Papanikolopoulos, "Robust pedestrian tracking using a model-based approach", in Proc. IEEE Conference on Intelligent Transportation Systems, Boston, MA, pp. 338-343, Nov. 1997.
50. O. Masoud, N.P. Papanikolopoulos, "A robust real-time multi-level model-based pedestrian tracking system", in Proc, ITS America Seventh Annual Meeting, Washington, DC, pp. 47, Jun. 1997.
51. M. Bertozzi, A. Broggi, and A. Lasagni, ''Infrared stereo vision-based pedestrian detection," Proceedings of the IEEE Intelligent Vehicles Symposium, 2005.
52. D. T. Linzmeier, D. Vogt, and R. Prasanna, et. al "Probabilistic signal interpretation methods for a thermopile pedestrian detection system," Proceedings of the IEEE Intelligent Vehicles Symposium, 2005.
53. W. F. Herrington, B. K. P. Horn, I. Masaki, "Application of the discrete Haar wavelet transform to image fusion for nighttime driving," Proceedings of the IEEE Intelligent Vehicles Symposium, 2005.