文章基本信息

标题：A Survey Of Advance Objects Detection And Tracking System In Video
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作者：Priyanka S.Raut ; G.R.Bamnote
期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2018
卷号：11
语种：English
出版社：IJECSCSE
摘要：A novel approach propose to create an automated visual surveillance system which is very efficient in detecting and tracking moving objects in a video captured by moving camera without any apriori information about the captured scene. Separating foreground from the background is challenging job in videos captured by moving camera as both foreground and background information change in every consecutive frames of the image sequence; thus a pseudo-motion is perceptive in background. The pseudo-motion in background is estimated and compensated using phase correlation of consecutive frames based on the principle. A method is devised to model an acting background by exploiting the history of commonality of a frame and detect foreground. Actual moving objects are detected in foreground by removing flickering background or noise using recent history of dissimilarity of the frame. Another method of morphological operation is also presented in the proposed algorithm to refine object region. The proposed algorithm i.e Object Detection and tracking by estimating and adjusting pseudo motion from the frame detects object in variable background without prior knowledge of environment or shape of objects or additional sensor information.
关键词：Frames;Moving Objects;Object Detection