Abstract:

Proposes an efficient moving target detection algorithm, which combines the GMM with the YUV color space. The GMM has strong robustness to the change of the light in the background, and it also has a good inhibitory action to the periodic changes of the background. The detected target has good connectivity. However, the GMM is sensitive to global noise, global brightness change, and easy to mistakenly judge the background points as the foreground points. In order to eliminate the GMM’s false alarms, uses the UV components, which are not sensitive to the changes of the global brightness, for the motion detection, and then the result will do ‘AND operation’ with the Y components motion detection result. Finally, uses the algorithm based on vertical projection shadow elimination to remove the shadow of the motion target. The algorithm is implemented on the DM642 development board. Experimental results show that the algorithm can accurately detects the moving target in realtime, and it is not sensitive to the global illumination changes.

Key words: moving target detection;Gaussian mixture model;YUV;digital image processing;DM642