@article{(Open Science Index):https://publications.waset.org/pdf/17149,
	  title     = {Parallel Priority Region Approach to Detect Background},
	  author    = {Sallama Athab and  Hala Bahjat and  Zhang Yinghui},
	  country	= {},
	  institution	= {},
	  abstract     = {Background detection is essential in video analyses; optimization is often needed in order to achieve real time calculation. Information gathered by dual cameras placed in the front and rear part of an Autonomous Vehicle (AV) is integrated for background detection. In this paper, real time calculation is achieved on the proposed technique by using Priority Regions (PR) and Parallel Processing together where each frame is divided into regions then and each region process is processed in parallel. PR division depends upon driver view limitations. A background detection system is built on the Temporal Difference (TD) and Gaussian Filtering (GF). Temporal Difference and Gaussian Filtering with multi threshold and sigma (weight) value are be based on PR characteristics. The experiment result is prepared on real scene. Comparison of the speed and accuracy with traditional background detection techniques, the effectiveness of PR and parallel processing are also discussed in this paper.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {10},
	  year      = {2013},
	  pages     = {1323 - 1327},
	  ee        = {https://publications.waset.org/pdf/17149},
	  url   	= {https://publications.waset.org/vol/82},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 82, 2013},
	}