@article{(Open Science Index):https://publications.waset.org/pdf/12296,
	  title     = {A Real-time Computer Vision System for VehicleTracking and Collision Detection},
	  author    = {Mustafa Kisa and  Fatih Mehmet Botsali},
	  country	= {},
	  institution	= {},
	  abstract     = {Recent developments in automotive technology are focused on economy, comfort and safety. Vehicle tracking and collision detection systems are attracting attention of many investigators focused on safety of driving in the field of automotive mechatronics. In this paper, a vision-based vehicle detection system is presented. Developed system is intended to be used in collision detection and driver alert. The system uses RGB images captured by a camera in a car driven in the highway. Images captured by the moving camera are used to detect the moving vehicles in the image. A vehicle ahead of the camera is detected in daylight conditions. The proposed method detects moving vehicles by subtracting successive images. Plate height of the vehicle is determined by using a plate recognition algorithm. Distance of the moving object is calculated by using the plate height. After determination of the distance of the moving vehicle relative speed of the vehicle and Time-to-Collision are calculated by using distances measured in successive images. Results obtained in road tests are discussed in order to validate the use of the proposed method.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {8},
	  year      = {2012},
	  pages     = {943 - 945},
	  ee        = {https://publications.waset.org/pdf/12296},
	  url   	= {https://publications.waset.org/vol/68},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 68, 2012},
	}