Boosting video tracking performance by means of Tabu Search in intelligent visual surveillance systems-Reference-Cited by-同舟云学术

Boosting video tracking performance by means of Tabu Search in intelligent visual surveillance systems

Published:2010-08-11 Issue:4 Volume:17 Page:415-440
ISSN:1381-1231
Container-title:Journal of Heuristics
language:en
Short-container-title:J Heuristics

Author:

Dotu Ivan,Patricio Miguel A.,Berlanga A.,García J.,Molina José M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,Control and Optimization,Computer Networks and Communications,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10732-010-9140-4.pdf

Reference46 articles.

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2. Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002) [see also IEEE Transactions on Acoustics, Speech, and Signal Processing]

3. Baluja, S.: Population-based incremental learning: a method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, CMU-CS, Pittsburgh, PA (1994)

4. Beymer, D., Konolige, K.: Real-time tracking of multiple people using continuous detection (1999)

5. Blackman, S.S., Popoli, R.: Design and Analysis of Modern Tracking Systems. Artech House, Norwood (1999)

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