Vision-based detection of activity for traffic control

Canadian Conference on Electrical and Computer Engineering

Volumn 2, Issue , 2003, Pages 1347-1350

  Liu, Y ^a   Payeur, P ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Adaptive background; Motion detection; Outdoor image processing; Traffic monitoring

Indexed keywords

ADAPTIVE SYSTEMS; COLOR; IMAGE SEGMENTATION; MOTION ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS);

MOTION DETECTION;

COMPUTER VISION;

EID: 0141650749     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. A. Soto, A. Cipriano, "Image processing applied to real time measurement of traffic flow", in Proc. of the Southeastern Symposium on System Theory, pp. 312-316, 1996.
2. M. Matsubara, H. Tokutome, K. Nishiyama, M. Aoki, K. Tanaka, "Development of a new multi-purpose image processing vehicle detector and its implementation in the Tokyo Metropolitan Traffic Control System", in Proc. of Vehicle Navigation and Information Systems Conference, pp. 95-98, 1994.
3. H. Hase, K. Miyake, M. Yoneda, "Real-time snowfall noise elimination", in Proc. of the IEEE Int. Conf. on Image Processing, vol. 2, pp. 406-409, 1999.
4. S. Kyo, T. Koga, K. Sakurai, S. Okazaki, "A robust vehicle detecting and tracking system for wet weather conditions using the IMAP-VISION image processing board", in Proc. of the IEEE/IEEJ/JSAI Int. Conf. on Intelligent Transportation Systems, pp. 423-428, 1999.
5. M. Dufaut, R. Husson, R. Taktak, "Vehicle detection at night using image processing and pattern recognition", in Proc. of the IEEE Int. Conf. of Image Processing, vol. 2, pp. 296-300, Nov 1994.
6. R. Cucchiara, M. Piccardi, P. Mello, "Image analysis and rule-based reasoning for a traffic monitoring system", in IEEE Transactions on Intelligent Transportation Systems, vol.1, no. 2, pp. 119-130, June 2000.
7. M. Tsuchikawa, A. Sato, H. Koike, A. Tomono, "A moving-object extraction method robust against illumination level changes for a pedestrian counting system", In Proc. of the Int. Symposium on Computer Vision, pp. 563-568, 1995.
8. M. Harville, G Gordon, J. Woodfill, "Adaptive video background modeling using color and depth", in Proc. of the 2001 Int. Conf. on Image Processing, vol. 3, pp. 90-93, 2001.
9. S. Gupte, O. Masoud, R.P.K. Martin, N.P. Papanikolopoulos, "Detection and classification of vehicles", in IEEE Transactions on in Intelligent Transportation Systems, vol. 3, no. 1, pp. 37-47, March 2002.
10. Z. Chunnii, M.Y. Siyal, "A new segmentation technique for classification of moving vehicles", in Proc. of the IEEE 51st Vehicular Technology Conference, Tokyo, vol. 1, pp. 323-326, Spring 2000.
11. R. Cucchiara, C. Crana, M. Piccardi, A. Prati, S. Sirotti, "Improving shadow suppression in moving object detection with HSV color information", in Proc. of Intelligent Transportation Systems, pp. 334-339, 2001.