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 systems

Plamen P. Angelov, Pouria Sadeghi-Tehran, Ramin Ramezani. 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 systems. Int. J. Intell. Syst., 26(3):189-205, 2011. [doi]

Authors

Plamen P. Angelov

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Pouria Sadeghi-Tehran

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Ramin Ramezani

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