doi: 10.7763/IJFCC.2015.V4.401
Development of Faint Motion Recognition System Based on Improved Objects Tracking Method from Thermal Camera Images
,
,
Kicheon Hong
3,*
- 1 Information and Telecommunications Engineering, Suwon University, Korea.
- 2 Bit Computer Corporation, South Korea.
- 3 University of Suwon, Republic of Korea.
Abstract
This paper discusses an improved faint detection system. In the existing faint detection systems, tracking often fails if the object being tracked suddenly changes in its direction or shape. Authors propose a method to re-track the object for which tracking has failed in order to improve the accuracy and persistency of tracking performance. Therefore, it is possible to continuously track a certain senior citizen who lives alone by combining the tracking algorithm of Kalman filter and Camshift and detecting algorithm of blob labeling for images input from a thermal image camera. We propose a faint detection and response system based on the size change of the tracked trajectory and the change time. It can be found that the proposed system shows accurate faint detection through tracking.
Keywords
- Faint detection
- object tracking
- Kalman filter
- thermal image
How to Cite
Hanbyul Chae, Juhyun Lee, and Kicheon Hong, "Development of Faint Motion Recognition System Based on Improved Objects Tracking Method from Thermal Camera Images," International Journal of Future Computer and Communication, vol. 4, no. 4, pp. 275-279, 2015. https://doi.org/ 10.7763/IJFCC.2015.V4.401
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).