• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
  • Mar 24, 2016 News! IJFCC Vol. 4, No. 4 has been indexed by EI (Inspec).   [Click]
  • Jun 28, 2017 News!Vol.6, No.3 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(4): 275-279 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.401

Development of Faint Motion Recognition System Based on Improved Objects Tracking Method from Thermal Camera Images

Hanbyul Chae, Juhyun Lee, and Kicheon Hong
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.

Index Terms—Faint detection, object tracking, Kalman filter, thermal image.

Hanbyul Chae is with Information and Telecommunications Engineering, Suwon University, Korea.
Juhyun Lee is with Bit Computer Corporation, South Korea.
Kicheon Hong is with the University of Suwon, Republic of Korea (corresponding author; e-mail: kchong@suwon.ac.kr).

[PDF]

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.

Copyright © 2008-2016. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net