@article {387,
	title = {High points recognition method of scraped surface based on background Subtraction},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {115 - 119},
	abstract = {Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morphology and specific processing function were used.},
	keywords = {Background subtraction, Contour analysis, High points recognition, Image processing, Scrapping},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879125674\&partnerID=40\&md5=593c3c4ffe380889b98f09f916fa0b8c},
	author = {Li, X. and Sun, L. and Liu, Y.}
}
@article {167,
	title = {A query answering surveillance system for detecting and tracking moving objects using bounding rectangles},
	journal = {Journal of Digital Information Management},
	volume = {7},
	year = {2009},
	note = {Export Date: 10 July 2014},
	month = {2009},
	pages = {15 - 20},
	abstract = {In many computer vision applications such as surveillance systems, detecting moving objects is the first step of information extraction. This paper introduces a query answering system that aims at responding to user queries without the need to scan the whole video tape. the proposed system is based on finding the minimum boundary rectangles (MBRs) of moving objects which appear in the video. It detects moving objects in the video frame set, keeps track of those objects, and saves information to answer future queries.},
	keywords = {Background subtraction, MBR, Object tracking, Rgb difference, Surveillance system},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350676981\&partnerID=40\&md5=bf39ff54dd637a3f58625643a68ed65a},
	author = {Sleit, A. and Almobaideen, W. and Qatawneh, M. and Barakat, A. and Saadeh, H.}
}
