標題: Real-Time Vehicle Detector with Dynamic Segmentation and Rule-based Tracking Reasoning for Complex Traffic Conditions
作者: Wu, Bing-Fei
Juang, Jhy-Hong
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: Detection;segmentation;tracking;occlusion;rule-based reasoning;lane detection;prior occlusion resolution;traffic parameter
公開日期: 31-十二月-2011
摘要: Vision-based vehicle detector systems are becoming increasingly important in ITS applications. Real-time operation, robustness, precision, accurate estimation of traffic parameters, and ease of setup are important features to be considered in developing such systems. Further, accurate vehicle detection is difficult in varied complex traffic environments. These environments include changes in weather as well as challenging traffic conditions, such as shadow effects and jams. To meet real-time requirements, the proposed system first applies a color background to extract moving objects, which are then tracked by considering their relative distances and directions. To achieve robustness and precision, the color background is regularly updated by the proposed algorithm to overcome luminance variations. This paper also proposes a scheme of feedback compensation to resolve background convergence errors, which occur when vehicles temporarily park on the roadside while the background image is being converged. Next, vehicle occlusion is resolved using the proposed prior split approach and through reasoning for rule-based tracking. This approach can automatically detect straight lanes. Following this step, trajectories are applied to derive traffic parameters; finally, to facilitate easy setup, we propose a means to automate the setting of the system parameters. Experimental results show that the system can operate well under various complex traffic conditions in real time.
URI: http://dx.doi.org/10.3837/tiis.2011.12.006
http://hdl.handle.net/11536/15715
ISSN: 1976-7277
DOI: 10.3837/tiis.2011.12.006
期刊: KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume: 5
Issue: 12
起始頁: 2355
結束頁: 2373
顯示於類別:期刊論文


文件中的檔案:

  1. 000300515400006.pdf