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]
@article{AngelovSR11,
title = {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},
author = {Plamen P. Angelov and Pouria Sadeghi-Tehran and Ramin Ramezani},
year = {2011},
doi = {10.1002/int.20462},
url = {http://dx.doi.org/10.1002/int.20462},
tags = {systematic-approach},
researchr = {https://researchr.org/publication/AngelovSR11},
cites = {0},
citedby = {0},
journal = {Int. J. Intell. Syst.},
volume = {26},
number = {3},
pages = {189-205},
}