文章基本信息

标题：REAL-TIME MOTION DETECTION FOR STORAGE VIDEOS IN SURVEILLANCE CAMERAS
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作者：MOHAMED G. EL-SAID ; MOHAMMED ELMOGY ; AHMED ABOELFETOH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：9
页码：2480-2490
出版社：Journal of Theoretical and Applied
摘要：Recently, motion detection is essential in computer vision applications because of the significant demands for developing digital video reordering systems (DVR). In this paper, we present a new technique for motion detection, which can handle the challenges of motion detection. The proposed technique can be used in real-time surveillance camera systems. It can capture the motion from any camera that is extracted from each enrolled images or video for each moved objects. We implemented the processing and dissemination stages for the processed images that are used for digital surveillance systems. On the other hand, the need for high recording quality with the increase of camera numbers required huge storage space. Therefore, we used a registration point in the case of traffic motions. In order to take advantage of storage space that made high benefits with four different processes of first obstacles of motion detection, the speed of the moving object, the presence of mobile cameras, moving background algorithm that responsible for detecting movement. A comparative study is presented in this paper to investigate the reliability and robustness of the proposed system.
关键词：Motion Detection; Background Subtraction; Temporal Difference; Optical Flow; Grid Processing; Area Highlight; Object Tracking; Border Highlight;