Abstract
Moving objects detection is a fundamental step for automated video analysis, robot visual system and many other vision applications. There are limitations in the existing algorithms, such as assuming a static camera, a smooth motion and rigid motion of target objects, etc. In this paper, we present a novel model named IRTSW-model; a moving objects detection model which can work effectively no matter the camera is moving or static. In the approach, images registration is used to eliminate the relative movements between the background and the camera; unsupervised codebook model is constructed to model the background; and then the moving objects are detected accurately. Experiments on the segtrack database demonstrate the effectiveness of our model.
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Huang, S., Ma, J., Zhao, Q. (2013). A Novel Moving Objects Detection Model Based on Images Registration within Sliding Time Windows. In: Tan, T., Ruan, Q., Chen, X., Ma, H., Wang, L. (eds) Advances in Image and Graphics Technologies. IGTA 2013. Communications in Computer and Information Science, vol 363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37149-3_22
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DOI: https://doi.org/10.1007/978-3-642-37149-3_22
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