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Details for article 1 of 8 found articles
| Title: |
Active Shape Model-Based Gait Recognition Using Infrared Images |
| Author: |
Daehee Kim Seungwon Lee Jooki Paik |
| Appeared in: |
International journal of signal processing, image processing and pattern recognition |
| Paging: | Volume 2 (2009) nr. 4 pages 1-12 |
| Year: |
2009 |
| Contents: |
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. |
| Publisher: |
SERSC (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 1 of 8 found articles
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