Moving Object Detection Based on Improved Three Frame Difference and Background Subtraction

摘要

In order to improve the accuracy of the moving object detection algorithm, a combination of improved three frame difference and background subtraction based on Gaussian mixture model algorithm is proposed in this paper. On the basis of the traditional three frame difference method, the "XOR" and "OR" operations are used instead of the "AND" operation to extract the foreground to solve the hole problem in the extraction of the foreground. But it will cause problems such as elongated target, blurred outline and noise. The background subtraction of Gaussian mixture model extracts the whole foreground but will detect the shadow. We consider combining two foregrounds by using the "AND" operation to obtain a comprehensive foreground image. The experimental results show that the algorithm can extract moving objects quickly, accurately and completely.