An efficient gait recognition based on a selective neural network ensemble

Author:

Lee Heesung,Hong Sungjun,Kim Euntai

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference17 articles.

1. C. BenAbdelkader, R. Culter,H. Nanda, and L. Davis, EigenGait: Motion-based recognition of people using image self-similarity, Proc Int'l Conf Audio- and Video-Based Biometric Person Authentication, 2001, pp. 284-294.

2. K. Cherkauer, Human expert level performance on a scientific image analysis task by a system using combined artificial neural networks, Proc Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms, 1996, pp. 15-21.

3. Pattern recognition with neural networks combined by genetic algorithm;Cho;Fuzzy Set System,1999

4. R. Collins, R. Gross, and J. Shi, Silhouette-based human identification from body shape and gait, Proc Int'l Conf Automatic Face and Gesture Recognition, Washington D.C., May 2002, pp. 351-356.

5. Neural network ensembles;Hansen;IEEE Trans Pattern Analysis Mach Intell,1992

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