An automatic motion detection algorithm for transport monitoring systems

Abstract

Objects need to be analyzed in the video surveillance system, while motion detection can be applied to define the analyzable area. This paper proposes a novel motion detection algorithm with background model generation. In order to accurately generate background model, 4-connectivity function is directly used to approximately label the background region. The labeling function makes the background model self-adaptive as object pixels can be roughly ignored for updating. Similarly, this function is also applied to approximately select the foreground region after background subtraction. Finally, objects can be detected by direct threshold function from the labeled foreground region. For measuring the quantitative accuracy, Similarity and F1 are used as two accuracy metrics. As a result, the proposed method produces a substantial degree of efficacy higher than those produced by other state-of-the-art methods.