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@article{ART002312258},
author={Hyochang Ahn and shin, in-kyung},
title={Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={1},
pages={41-48},
doi={10.9708/jksci.2018.23.01.041}

TY - JOUR
AU - Hyochang Ahn
AU - shin, in-kyung
TI - Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 1
PB - The Korean Society Of Computer And Information
SP - 41
EP - 48
SN - 1598-849X
AB - Recently, surveillance systems are widely used, and one of the key technologies in this surveillance system is to recognize and track objects. In order to track a moving object robustly and efficiently in a complex environment, it is necessary to extract the feature points in the interesting object and to track the object using the feature points. In this paper, we propose a method to track interesting objects in real time by eliminating unnecessary information from objects, generating feature point descriptors using only key feature points, and reducing computational complexity for object recognition. Experimental results show that the proposed method is faster and more robust than conventional methods, and can accurately track objects in various environments.
KW - Object Tracking;Feature Matching;Object Dectection;SURF;CamShift
DO - 10.9708/jksci.2018.23.01.041
ER -

Hyochang Ahn and shin, in-kyung. (2018). Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift. Journal of The Korea Society of Computer and Information, 23(1), 41-48.

Hyochang Ahn and shin, in-kyung. 2018, "Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift", Journal of The Korea Society of Computer and Information, vol.23, no.1 pp.41-48. Available from: doi:10.9708/jksci.2018.23.01.041

Hyochang Ahn, shin, in-kyung "Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift" Journal of The Korea Society of Computer and Information 23.1 pp.41-48 (2018) : 41.

Hyochang Ahn, shin, in-kyung. Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift. 2018; 23(1), 41-48. Available from: doi:10.9708/jksci.2018.23.01.041

Hyochang Ahn and shin, in-kyung. "Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift" Journal of The Korea Society of Computer and Information 23, no.1 (2018) : 41-48.doi: 10.9708/jksci.2018.23.01.041

Hyochang Ahn; shin, in-kyung. Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift. Journal of The Korea Society of Computer and Information, 23(1), 41-48. doi: 10.9708/jksci.2018.23.01.041

Hyochang Ahn; shin, in-kyung. Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift. Journal of The Korea Society of Computer and Information. 2018; 23(1) 41-48. doi: 10.9708/jksci.2018.23.01.041

Hyochang Ahn, shin, in-kyung. Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift. 2018; 23(1), 41-48. Available from: doi:10.9708/jksci.2018.23.01.041

Hyochang Ahn and shin, in-kyung. "Study on a Robust Object Tracking Algorithm Based on Improved SURF Method with CamShift" Journal of The Korea Society of Computer and Information 23, no.1 (2018) : 41-48.doi: 10.9708/jksci.2018.23.01.041