An Abandoned / Removed Object Detection Method Based on Image Block
Shengji Li · Journal of Chinese Computer Systems · 2014
Background subtraction is a widely used approach for detecting objects in video surveillance systems. The paper presents an abandoned or removed objects detection method based on the background subjection which uses the average value of frames as the background model. Firstly,the image is divided into the same size blocks. And the background model is provided according to the image blocks. Then once abandoned or removed objects appear in the scene,they will be detected via background subjection and accumulating the value in correspondence of foreground pixels on the scoreboard. Finally,we adopt an edge matching method to identify whether foreground objects are abandoned objects or removed objects and update background image blocks that contain foreground objects. Experiment results have indicated this method has more superior performance than the tradition methods based on moving object tracking in accuracy rate and CPU usage under the complex outdoor scenes with the moving multi-targets.