Abstract
Computer vision and motion capture have gradually developed, and the detection of moving objects has always been very important. Vibe is a simple and efficient algorithm with low computation, good real-time performance, fast speed. There will be ghosting when detecting images in the foreground, which allows people to observe the trajectory of objects, but it will also affect the image display at the next moment to a certain extent. Vibe is divided into two steps: initializing the background model and updating the background model. By adjusting the secondary sampling factor, very few sample values can cover all background samples, store a set of values for each pixel that used to be at the same location and its neighbors. And then compare the pixel values in this collection with the current pixel values, to determine if the pixel belongs to the background and adapt the model by randomly selecting which values to replace from the background model. Finally, when a pixel is found to be part of the background, its value is propagated to the background model of neighboring pixels. The results of the vibe test are not affected by the speed at which the object moves, but by light.
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Qiao, D., Zheng, Q., Tian, X., Elhanashi, A., Saponara, S. (2024). Dynamic Capture Algorithm Based on Visual Background Extractor (Vibe). In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_44
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DOI: https://doi.org/10.1007/978-3-031-48121-5_44
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