Web: http://arxiv.org/abs/2209.07923

Sept. 19, 2022, 1:14 a.m. | Guy Erez, Ron Shapira Weber, Oren Freifeld

cs.CV updates on arXiv.org arxiv.org

In video analysis, background models have many applications such as
background/foreground separation, change detection, anomaly detection,
tracking, and more. However, while learning such a model in a video captured by
a static camera is a fairly-solved task, in the case of a Moving-camera
Background Model (MCBM), the success has been far more modest due to
algorithmic and scalability challenges that arise due to the camera motion.
Thus, existing MCBMs are limited in their scope and their supported
camera-motion types. These …

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