Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system - researchr publication related

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Plamen P. Angelov, Ramin Ramezani, Xiaowei Zhou. Autonomous novelty detection and object tracking in video streams using evolving clustering and Takagi-Sugeno type neuro-fuzzy system. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008. pages 1456-1463, IEEE, 2008. [doi]

The following publications are possibly variants of this publication:

An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi-Sugeno fuzzy systemsPlamen P. Angelov, Pouria Sadeghi-Tehran, Ramin Ramezani. ijis, 26(3):189-205, 2011. [doi]

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