An Improved ViBe for Video Moving Object Detection Based on Evidential Reasoning

Visual Background Extractor (ViBe) is a video moving object detection method with simple implementation and fast speed. ViBe uses a detection threshold (neighborhood size) to judge whether a pixel belongs to the background or the foreground. However, in some complicated scenes, the belongingness of the pixels is ambiguous. One cannot well perform the object detection using the ViBe with a single threshold, which is a kind of hard decision without considering the uncertainty incorporated in. In this paper, we use two thresholds to describe the uncertainty in the ViBe-based color video detection, and use the evidence theory to model and handle the uncertainty. Experimental results show that the proposed approach achieves better detection performance compared with the original ViBe method.