A vehicle detection approach based on multi-features fusion in the fisheye images

ICCRD2011 - 2011 3rd International Conference on Computer Research and Development

Volumn 4, Issue , 2011, Pages 1-5

  Cheng, Guangtao ^a   Chen, Xue ^b  

^a NORTH CHINA INSTITUTE OF AEROSPACE ENGINEERING   (China)

^b Dept of Computer Science   (China)

Author keywords

features fusion; symmetry; vehicle detection; wavelet feature

Indexed keywords

A-FRAMES; CYLINDER MODEL; DRIVER-ASSISTANCE SYSTEMS; FEATURES FUSION; FISH-EYE; FISH-EYE CAMERAS; FRAMES PER SECONDS; GREY-LEVEL; HSV COLOR SPACES; IMAGE CALIBRATION; SYMMETRY; SYMMETRY AXIS; VEHICLE DETECTION; VERTICAL EDGES; VIRTUAL SCENES; WAVELET FEATURE;

ALGORITHMS; CALIBRATION; FEATURE EXTRACTION; IMAGE ENHANCEMENT; SIGNAL DETECTION; SUPPORT VECTOR MACHINES; VEHICLES; WAVELET DECOMPOSITION;

AUTOMOBILE FRAMES;

EID: 79957545557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCRD.2011.5763840     Document Type: Conference Paper

References (12)

1. S. M. Li, H. Shen, J. G. Mao, "Survey of intelligent vehicles development and its key supporting technologies," Transducer and Microsystems Technologies, 28(1), pp. 1-4, 2009.
2. T. Liu, N. Zheng, L. Zhao and H. Cheng, "Learning based Symmetric Features Selection for Vehicle Detection," IEEE Intelligent Vehicles Symposium, Las Vegas, Nevada, USA, pp. 124-129, 2005.
3. Z. J. Yan, H. Zhang and H. D. Meng, "Cast vehicle shadow segmentation based on contour analysis," Proceedings of the IEEE Conference on Intelligent Transportation Systems, pp.866-871, 2007.
4. A. Broggi, P. Cerri and P. C. Antonello, "Multi-Resolution Vehicle Detection using Artificial Vision," IEEE Intelligent Vehicles Symposium , pp. 310-314, 2004.
5. B. F. Wu, Y. L. Chen and Y. S. Chen, "Real time image segmentation and rule based reasoning for vehicle head light detection on a moving vehicle," Proceedings of the Seventh IASTED International Conference on Signal Processing, pp. 388-393, 2005.
6. C. Knopeppel, A. Schanz and B. Michaelis, "Robust vehicle detection at large distance using low resolution cameras," IEEE Intelligent Vehicle Symposium, pp. 267-272, 2000.
7. S. W. Seol, J. H. Jang, H. S. Kim, C. H. Lee, and K. G. Nam, "An automatic detection and tracking system of moving objects using double difference based motion estimation," in Proc. On Int'l Technical Conf. on Circuits/Systems, Computers and Communications, Phoenix Park, Korea, pp. 260-263, July 7-9, 2003.
8. M. Betke, E. Haritaglu and L. Davis, "Multi vehicle detection and tracking in hard real time," IEEE Intelligent Vehicles Symposium, pp. 351-356, 1996.
9. Z. Sun, G. Bebis, and R. Miller, "Quantized wavelet features and support vector machines for on-road vehicle detection,"The Seventh International Conference on Control, Automation, Robotics and Vision, Singapore, December, 2002.
10. Y. N. CHEN, "Nighttime Vehicle Light Detection on A Moving Vehicle using Image Segmentation and Analysis Techniques," Wseas transactions on computers, 8(3), pp. 506- 509, 2009.
11. Z. H. Sun, G. Bebis, and R. Miller, "Monocular pre-crash vehicle detection: Features and classifiers," IEEE Transactions on image processing, 15(7), pp. 2019-2034, 2006.
12. X. Z. Wen, W. Liu, N. Wang, H. Yuan, H. Zhao, "Improved wavelet feature extraction methods based on HSV space for vehicle detection," IAPR Conference on Machine Vision Applications 2007, University of Tokyo, Japan, pp.376-379, May 16-18, 2007.