Multimodal background subtraction for high-performance embedded systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s11554-016-0651-6.pdf
Reference56 articles.
1. Bouwmans, T., Porikli, F., Hferlin, B., Vacavant, A.: Traditional and recent approaches in background modeling for foreground detection: an overview. Comput. Sci. Rev. 11–12(5), 31–66 (2014)
2. Sobral, A., Vacavant, A.: A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos. Comput. Vis. Image Underst. 122(5), 4–21 (2014)
3. Norouznezhad, E., Bigdeli, A., Postula, A., Lovell, B.C.: A high resolution smart camera with GigE Vision extension for surveillance applications. In: Second ACM/IEEE International Conference on Distributed Smart Cameras, Stanford, CA, September 2008, pp. 1–8
4. Savage, S.: Focusing on smart cameras [control vision]. IET Eng. Technol. 3(10), 44–46 (2008)
5. Almagambetov, A., Velipasalar, S., Casares, M.: Robust and computationally lightweight autonomous tracking of vehicle taillights and signal detection by embedded smart cameras. IEEE Trans. Ind. Electron. 62(6), 3732–3741 (2015)
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