Academic Journals Database
Disseminating quality controlled scientific knowledge

Active Shape Model-Based Gait Recognition Using Infrared Images

Author(s): Daehee Kim | Seungwon Lee | Jooki Paik

Journal: International Journal of Signal Processing, Image Processing and Pattern Recognition
ISSN 2005-4254

Volume: 2;
Issue: 4;
Start page: 1;
Date: 2009;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Active shape model | Gait recognition | Object tracking

We present a gait recognition system using infra-red (IR) images. Since an IR camera is not affected by the intensity of illumination, it is able to provide constant recognition performance regardless of the amount of illumination. Model-based object tracking algorithms enable robust tracking with partial occlusions or dynamic illumination. However, this algorithm often fails in tracking objects if strong edge exists near the object. Replacementof the input image by an IR image guarantees robust object region extraction because background edges do not affect the IR image. In conclusion, the proposed gait recognition algorithm improves accuracy in object extraction by using IR images and the improvementsfinally increase the recognition rate of gaits.
Affiliate Program      Why do you need a reservation system?