Survey Paper on HEVC Standard on Moving Object Detection in Compressed Domain to Analyze the Input Frame Verses Output Frame

Detection of the moving objects has many important applications, such as identify abnormal events in the traffic like traffic accidents, monitor activity in public areas, businesses or commercial buildings for real-time or later review.It is also be used in medical field in present technology. A real-time HEVC compressed domain moving object segmentation algorithm for surveillance videos is proposed in this paper Because High Efficiency Video Coding (HEVC) has a large potential to identify events by reusing coding structures in HEVC, which saves vast extent of computational resources. Here the feature Motion Intensity Count (MIC) makes use of motion vector, coding unit and prediction unit of HEVC. By calculating MIC we can predict imprecise the moving objects, then by applying thresholding Otsu thresholding and adaptive thresholding, only on the Largest coding unit (LCU) whose difference in MIC value is greater than zero to get actual segmented output.