Extraction of Moving Objects by Estimating Background Brightness

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Abstract

This paper proposes a new method of extracting moving objects from a video sequence. The proposed method is robust to noise and the intensity change of the observed image, which can be affected by the illumination or the function of a camera. It is basically the background subtraction of the background image which can be estimated by the global change of intensity in the observed image. The method is based on the assumption that pixels of the same intensity in the original background image will keep the same intensity even with a change in intensity of the whole image. A mapping table between the present image and the original background image is generated to estimate the present background image. After the background is subtracted for each pixel, the observed image is divided into some blocks. The mean value of the difference is calculated for each block. Then, the region of moving object is extracted based on the mean value. This blocking process results in the higher robustness for the segmentation. Since the background brightness, which is occluded by the moving object itself, is estimated from the observed image and the background image, the method is applicable to the intensity change of the observed image by varying the illumination under the automatic control function of camera. The performance of the real-time implementation of the proposed approach is evaluated in comparison with the previous approaches.<br>

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