An improved ViBe motion detection method via background refresh from content difference

Peiqin Li; Bingyang Li; Pengwei Wang; Bin Zhang; Haoxuan Xu; Ruiming Zhang

doi:10.1117/12.3037707

22 October 2024 An improved ViBe motion detection method via background refresh from content difference

Peiqin Li, Bingyang Li, Pengwei Wang, Bin Zhang, Haoxuan Xu, Ruiming Zhang

Proceedings Volume 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024); 132740E (2024) https://doi.org/10.1117/12.3037707
Event: Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 2024, Haikou, HI, China

Abstract

Motion object detection is a commonly used video image processing method used to extract motion regions, thereby reducing the amount of data required for further information processing such as object detection and recognition. ViBe is a high-quality motion object detection algorithm, but in practical applications, it is easy to cause scene switching in the image content due to camera pan tilt rotation and shaking, resulting in deviation in background updates and deviation in the extracted motion regions. This article introduces scene content differences analysis to achieve more reliable background updates and further reduce the computational complexity of background updates. The experiment shows that this method can improve the original ViBe algorithm in terms of quality and speed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peiqin Li, Bingyang Li, Pengwei Wang, Bin Zhang, Haoxuan Xu, and Ruiming Zhang "An improved ViBe motion detection method via background refresh from content difference", Proc. SPIE 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 132740E (22 October 2024); https://doi.org/10.1117/12.3037707

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