VisualSurveillance and Tracking of Humans by Face and Gait Recognition
Huang, P.S., Harris, C.J. and Nixon, M.S. (1998) VisualSurveillance and Tracking of Humans by Face and Gait Recognition. Proc. of 7th IFAC Symposium on Artificial Intelligence in Real-Time Control , 43-44.
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Description/Abstract
Increased emphasis on automated real time intelligent surveillance system has led to the need to identify and track people in complex environments. Independent features such as face, gait provide valuable clues as to identity, which coupled with data fusion and tracking algorithms offer a potential solution to this problem. In this paper we address the first problem of recognizing humans in real time, data fusion and tracking will be performed by neurofuzzy state estimators. A new approach which combines eigenspace transformation with canonical space transformation is proposed here. This method can be used to reduce data dimensionality and to optimize the class separability of different classes simultaneously.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Extended Version on CD Organisation: IFAC Address: Grand Canyon National Park, Arizona, USA |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 250438 |
| Date Deposited: | 01 Dec 1999 |
| Last Modified: | 02 Mar 2012 11:37 |
| Contributors: | Huang, P.S. (Author) Harris, C.J. (Author) Nixon, M.S. (Author) |
| Date: | October 1998 |
| Additional Information: | Extended Version on CD Organisation: IFAC Address: Grand Canyon National Park, Arizona, USA |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/250438 |
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