An Improved Vibe Based on Gaussian Pyramid
Yuanbin Wang, Jieying Ren · 2019
In view of the ghost and time cost of the Vibe, an improved Vibe algorithm based on Difference of Gaussian (DoG) is proposed in this paper. Firstly, video frames are processed by Gauss Pyramid, the original layer, the first layer and the second layer of three images are obtained. Secondly, three-frame difference is performed and fused, then rough moving target is yielded. Thirdly, the target pixel is judged based on the improved vibe algorithm and the complete moving target is achieved. The improvement on the traditional Vibe algorithm is to enlarge the range of sample pixels selection, avoiding repeated selection of error samples. On the other hand, the background of DoG images is updated and moving objects is segmented. Finally, the result is fused by three-frame difference and the improved Vibe algorithm. The experiment results show that ghost phenomenon can be restrained efficiently by the proposed algorithm and the calculation speed is also improved. The feature of real time can also be ensured.