An Approach for Detecting Abandoned Object from Real Time Video
نویسندگان
چکیده
Research in abandoned object detection is a need now days due to increase in attack by terrorists or anti social elements at public places. The traditional way to observe the places or to track the places is the CCTV cameras. In the current research of detecting abandoned object, the results are not optimal and need more work in this area. This paper discusses the proposed system for detecting abandoned object from Real time video. This system consists of 8 modules as Module 1: Real time video feed, Module 2: Get frame from the video after fixed time interval, Module 3: Get Intensity image, Module 4: Gaussian blur to reducing noise and smoothing, Module 5: Background subtraction, Module 6: Blob detection, Module 7: Still object tracking, Module 8: Occlusion detection. [Finally detected abandoned object] Keyword -Abandoned object, CCTV, Foreground mask, Gaussian blur, Surveillance systems.
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