A novel method for detecting and tracking vehicles in traffic-image sequence

Jieqiong Xu; Guoyu Wang; Feifei Sun

doi:10.1117/12.2030637

19 July 2013 A novel method for detecting and tracking vehicles in traffic-image sequence

Jieqiong Xu, Guoyu Wang, Feifei Sun

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782P (2013) https://doi.org/10.1117/12.2030637
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

A novel method for detecting and tracking vehicles is proposed. The method which based on motion object segmentation used Cellular Neural Network (CNN) in the background substraction for motion detection in order to distinguish the vehicles from others of the interested regions. Meanwhile a tracking method based on regional characteristic matching is proposed, by which the distance between characteristic vectors can be used to match current motion regions and track the vehicles. Perceptual grouping refers to the organization ability that visual system detect image features in accordance with certain cues such as proximity, continuity, closure, etc, and attracts wide attentions and high regards in computer vision. In this paper, we proposed a new approach for occlution elimination by combining perceptual grouping with Optical flow field. Experimental results show that the methods can extract traffic information with high accuracy and efficiency.

Citation Download Citation

Jieqiong Xu, Guoyu Wang, and Feifei Sun "A novel method for detecting and tracking vehicles in traffic-image sequence", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782P (19 July 2013); https://doi.org/10.1117/12.2030637

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