@article{(Open Science Index):https://publications.waset.org/pdf/10001883,
	  title     = {A Background Subtraction Based Moving Object Detection around the Host Vehicle},
	  author    = {Hyojin Lim and  Cuong Nguyen Khac and  Ho-Youl Jung},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose moving object detection
method which is helpful for driver to safely take his/her car out of
parking lot. When moving objects such as motorbikes, pedestrians,
the other cars and some obstacles are detected at the rear-side of host
vehicle, the proposed algorithm can provide to driver warning. We
assume that the host vehicle is just before departure. Gaussian
Mixture Model (GMM) based background subtraction is basically
applied. Pre-processing such as smoothing and post-processing as
morphological filtering are added. We examine “which color space
has better performance for detection of moving objects?” Three color
spaces including RGB, YCbCr, and Y are applied and compared, in
terms of detection rate. Through simulation, we prove that RGB
space is more suitable for moving object detection based on
background subtraction.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {1860 - 1863},
	  ee        = {https://publications.waset.org/pdf/10001883},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},
	}