A surveillance system based on motion detection and motion estimation using optical flow
Muhammad Kamal Hossen, Sabrina Hoque Tuli · 2016
In today's world Surveillance system is playing an important role in the field of security. Moving object detection has been widely used in video surveillance system. As well as motion estimation is an important part of surveillance video processing such as video filtering and compression from video frames. This paper proposes a simple and efficient surveillance system based on motion detection with motion vector estimation from surveillance video frames. Motion is detected with a new approach-edge region determination which makes detection faster. The surveillance video is then processed for motion estimation using optical flow with Horn-Schunck algorithm for estimating motion vector for its reasonable performance and simplicity. This method is computationally faster without requiring any special hardware for image processing. So it can be more applicable to embedded systems.