Detection of the Mobile Object with Camouflage Color Under Dynamic Background Based on Optical Flow

In order to realize the detection of the mobile object with camouflage color, a scheme based on optical flow model was put forward. Firstly, optical flow model was used to model the motion pattern of the object and the background. Secondly, the magnitude and the location of the optical flow were used to cluster the motion pattern, and the object detection result was obtained. At last, the location and scale of the object were used as the state variables, Kalman filter was used to improve the performance of the detection, and the final detection result was obtained. Experimental results show the algorithm can solve the mobile object detection satisfactorily.