@article{(Open Science Index):https://publications.waset.org/pdf/8270,
	  title     = {An Effective Method of Head Lamp and Tail Lamp Recognition for Night Time Vehicle Detection},
	  author    = {Hyun-Koo Kim and  Sagong Kuk and  MinKwan Kim and  Ho-Youl Jung},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving. The proposed method detects vehicles based on detecting vehicle headlights and taillights using techniques of image segmentation and clustering. First, to effectively extract spotlight of interest, a segmentation process based on automatic multi-level threshold method is applied on the road-scene images. Second, to spatial clustering vehicle of detecting lamps, a grouping process based on light tracking and locating vehicle lighting patterns. For simulation, we are implemented through Da-vinci 7437 DSP board with near infrared mono-camera and tested it in the urban and rural roads. Through the test, classification performances are above 97% of true positive rate evaluated on real-time environment. Our method also has good performance in the case of clear, fog and rain weather.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {4},
	  number    = {8},
	  year      = {2010},
	  pages     = {1255 - 1258},
	  ee        = {https://publications.waset.org/pdf/8270},
	  url   	= {https://publications.waset.org/vol/44},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 44, 2010},
	}