Adaptive Background Modeling for Paused Object Regions
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-22822-3_2
Reference15 articles.
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3. Elgammal, A., Duraiswami, R., Harwood, D., Davis, L.: Background and Foreground Modeling Using Non-parametric Kernel Density Estimation for Visual Surveillance. Proceedings of the IEEE 90, 1151–1163 (2002)
4. Tanaka, T., Shimada, A., Arita, D., Taniguchi, R.: A Fast Algorithm for Adaptive Background Model Construction Using Parzen Density Estimation. In: CD-ROM Proc. of IEEE International Conference on Advanced Video and Signal based Surveillance (2007)
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2. Traditional Approaches in Background Modeling for Static Cameras;Background Modeling and Foreground Detection for Video Surveillance;2014-07-17
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