Denoising method using a moving-average filter for the moving-object recognition of low-illuminance video-image

In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in the preparation of the combination of gamma correction and denoising filter, we have to consider about the appropriate parameters. In this research, we introduce the moving-average filter as the denoising filter, and evaluate the processing time and the performance for the proposed method.