標題: Front vehicle tracking using scene analysis
作者: Song, Kai-Tai
Yang, Chih-Chieh
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: vehicle tracking;image processing;visual tracking;embedded system;advanced safety vehicles
公開日期: 2005
摘要: This paper presents a design and implementation of a real-time visual tracking system for vehicle safety applications. A novel feature-based vehicle tracking algorithm is proposed. This algorithm can automatically detect and track multiple moving objects, including cars and motorcycles, ahead of the tracking vehicle. Combined with the concept of focus of expansion (FOE) and scene analysis, the developed system can segment features of moving objects from moving background and provide a collision warning in real time. The proposed algorithm is realized using a CMOS image sensor and Nios embedded processor architecture. The constructed stand-alone visual tracking system has been validated in actual road tests. Experimental results show that the proposed system successfully tracks front vehicles and provides information of collision warning in urban artery with speed around 60 km/hr both at night and day times.
URI: http://hdl.handle.net/11536/18009
ISBN: 0-7803-9044-X
期刊: 2005 IEEE International Conference on Mechatronics and Automations, Vols 1-4, Conference Proceedings
起始頁: 1323
結束頁: 1328
顯示於類別:會議論文