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

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.