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@article{ART002294742},
author={Jun-Haeng Lee},
title={Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={12},
pages={55-61},
doi={10.9708/jksci.2017.22.12.055}

TY - JOUR
AU - Jun-Haeng Lee
TI - Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 12
PB - The Korean Society Of Computer And Information
SP - 55
EP - 61
SN - 1598-849X
AB - In this paper, we propose a novel tracking method using target separation and detection that are based on discriminative correlation filter (DCF), which is studied a lot recently. ‘Retainability’ is one of the most important factor of tracking. There are some factors making retainability of tracking worse. Especially, fast movement and occlusion of a target frequently occur in image data, and when it happens, it would make target lost. As a result, the tracking cannot be retained. For maintaining a robust tracking, in this paper, separation of a target is used so that normal tracking is maintained even though some part of a target is occluded. The detection algorithm is executed and find new location of the target when the target gets out of tracking range due to occlusion of whole part of a target or fast movement speed of a target. A variety of experiments with various image data sets are conducted. The algorithm proposed in this paper showed better performance than other conventional algorithms when fast movement and occlusion of a target occur.
KW - visual tracking;detection;target separation;discriminative correlation filter
DO - 10.9708/jksci.2017.22.12.055
ER -

Jun-Haeng Lee. (2017). Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection. Journal of The Korea Society of Computer and Information, 22(12), 55-61.

Jun-Haeng Lee. 2017, "Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection", Journal of The Korea Society of Computer and Information, vol.22, no.12 pp.55-61. Available from: doi:10.9708/jksci.2017.22.12.055

Jun-Haeng Lee "Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection" Journal of The Korea Society of Computer and Information 22.12 pp.55-61 (2017) : 55.

Jun-Haeng Lee. Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection. 2017; 22(12), 55-61. Available from: doi:10.9708/jksci.2017.22.12.055

Jun-Haeng Lee. "Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 55-61.doi: 10.9708/jksci.2017.22.12.055

Jun-Haeng Lee. Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection. Journal of The Korea Society of Computer and Information, 22(12), 55-61. doi: 10.9708/jksci.2017.22.12.055

Jun-Haeng Lee. Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection. Journal of The Korea Society of Computer and Information. 2017; 22(12) 55-61. doi: 10.9708/jksci.2017.22.12.055

Jun-Haeng Lee. Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection. 2017; 22(12), 55-61. Available from: doi:10.9708/jksci.2017.22.12.055

Jun-Haeng Lee. "Visual tracking based Discriminative Correlation Filter Using Target Separation and Detection" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 55-61.doi: 10.9708/jksci.2017.22.12.055