A neural-based crowd estimation by hybrid global learning algorithm

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 29, Issue 4, 1999, Pages 535-541

  Cho, Siu Yeung ^a   Chow, Tommy W S ^a   Leung, Chi Tat ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE PROCESSING; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; REAL TIME SYSTEMS;

HYBRID GLOBAL LEARNING ALGORITHM; IMAGE SEQUENCE; NEURAL BASED CROWD ESTIMATION;

CYBERNETICS;

EID: 0033177740     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.775269     Document Type: Article

References (14)

1. P. Jukkala, J. Ylinan, and A. Raisanen, "Use of a millimeter wave radiometer for detecting pedestrian and bicycle traffic," in Proc. 17th European Microwave Conf., Rome, Italy, Sept. 1987, pp. 585-589.
2. S. S. Mudally, "Novel computer-based infrared pedestrian data-acquistion system," Electron. Lett., vol. 15, pp. 371-371, June 1979.
3. A. C. Davies, J. H. Yin, and S. A. Velastin, "Crowd monitoring using image processing," Electron. Commun. Eng. J., pp. 37-47, Feb. 1995.
4. C. S. Regazzoni, A. Tesei, and V. Murino, "A real-time vision system for crowding monitoring," in Proc. IECON'93, 1993, pp. 1860-1864.
5. _, "Distributed data fusion for real-time crowding estimation," Signal Process., vol. 53, pp. 47-63, 1996.
6. F. Cravino, M. Dellucca, and A. Tesei, "DEKF system for crowding estimation by a multiple-model approach," Electron. Lett., vol. 30, pp. 390-391, Mar. 1994.
7. C. T. Leung and T. W. S. Chow, "A hybrid global learning algorithm based on global search and least-squares techniques for backpropagation networks," in Proc. IEEE ICNN'97, vol. 3, pp. 1890-1893, 1997.
8. S. Y. Cho and T. W. S. Chow, "A fast heuristic global learning algorithm for multilayer neural networks," Neural Process. Lett., vol. 9, pp. 177-187, 1998.
9. S. Y. Cho and T. W. S. Chow, "Training multilayer neural networks using fast global learning algorithm - Least squares and penalized optimization methods," Neurocomputing, vol. 25, pp. 115-131, 1999.
10. N. Baba, "A new approach for finding the global minimum of error function of neural networks," Neural Networks, vol. 2, pp. 367-373, 1989.
11. W. L. Goffe, G. D. Ferrier, and J. Rogers, "Global optimization of statistical functions with simulated annealing," J. Econometrics, vol. 60, pp. 65-99, 1994.
12. C. R. Houck, J. A. Joines, and M. G. Kay, "A genetic algorithm for function optimization: A Matlab implementation," submitted for publication.
13. A. Torn and A. Zillinskas, Global Optimization. Berlin, Germany: Springer-Verlag, 1987.
14. R. Horst and P. M. Pardalos, Handbooks of Global Optimization. Amsterdam, The Netherlands: Kluwer, 1995.