Paper: Modeling Background from Compressed Video Wang, W., Yang, J., Gao, W., Chen, D., The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, in conjunction with the Tenth IEEE International Conference on Computer Vision (ICCV'05), Beijing, China, October 15-16, 2005 Abstract:   Background models have been widely used for video surveillance and other applications. Methods for constructing background models and associated application algorithms are mainly studied in spatial domain (pixel level). Many video sources, however, are in a compressed format before processing. In this paper, we propose an approach to construct background models directly from compressed video data. The proposed approach utilizes the information exploited from DCT coefficients at block level to construct accurate background models at pixel level. We implemented three representative algorithms of background models in the compressed domain, and theoretically explored their properties and the relationship with their counterparts in the spatial domain. We also present some general technical improvements to make the proposed approach more capable for a wide range of applications. The proposed method can achieve the same accuracy as the methods that construct background models from the spatial domain with much lower computational cost (26% on average) and more compact storages. Close