Abstract: the typical first step in visual observation is skill of extracting moving objects from a video sequence captured using a static camera. From the sequence of video frames it only stored those video frames in which moving object is to be detected. For automatic initialization, track, pose estimation, and movement credit the numbers of significant research advances are identified together with novel methodologies. There are mainly three algorithms for the motion detection i.e voting based motion estimation, temporal difference, and background subtraction. Out of these algorithms here we use the voting based motion estimation algorithm. This algorithm is to properly estimate the motion of moving object. To estimate the camera movement the shifting information of edges of static background utilized by this algorithm without knowing the previous facts of camera motion. On the more than a few delegate region of awareness the broken up information can be recognized using voting decision method. Here we apply the voting based motion estimation algorithm by estimation, compensation, moving edge alteration & improvement and moving object detection.
Keywords: Blob Detection, Motion detection Visual observation system, spacial coding, Threas holding, temporal sampling, voting based motion estimation.
Title: Object Detection in Video Surveillance System
Author: Sonal k Gudekar, Nisha Shinge, Sarika Satpute
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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