Research on Improved Adaptive ViBe Algorithm For Vehicle Detection
Kun Jiang, Wang Jian-guo · International Journal of Advanced Network Monitoring and Controls · 2019
Abstract Vehicle detection is an important step in vehicle tracking and recognition in video environment. Vibe algorithm is a moving target detection algorithm based on background difference method. Based on the traditional ViBe algorithm, this paper introduces three-frame difference method combined with ViBe algorithm to speed up the elimination of ghosts, and proposes an adaptive Vibe algorithm, which defines two kinds of vehicle detection errors and their corresponding error functions. Then, according to the range of these two errors, a set of reasonable judgment methods are determined to adjust the unreasonable threshold, which ensures the adaptive updating of the background model. It improves the environmental adaptability of vehicle detection and ensures higher accuracy of vehicle detection under complex illumination conditions.