@article{ART002611221},
author={Ka-Young Park},
title={Scalable Re-detection for Correlation Filter in Visual Tracking},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={7},
pages={57-64},
doi={10.9708/jksci.2020.25.07.057}
TY - JOUR
AU - Ka-Young Park
TI - Scalable Re-detection for Correlation Filter in Visual Tracking
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 7
PB - The Korean Society Of Computer And Information
SP - 57
EP - 64
SN - 1598-849X
AB - In this paper, we propose an scalable re-detection for correlation filter in visual tracking. In real world, there are lots of target disappearances and reappearances during tracking, thus failure detection and re-detection methods are needed. One of the important point for re-detection is that a searching area must be large enough to find the missing target. For robust visual tracking, we adopt kernelized correlation filter as a baseline. Correlation filters have been extensively studied for visual object tracking in recent years.
However conventional correlation filters detect the target in the same size area with the trained filter which is only 2 to 3 times larger than the target. When the target is disappeared for a long time, we need to search a wide area to re-detect the target. Proposed algorithm can search the target in a scalable area, hence the searching area is expanded by 2% in every frame from the target loss. Four datasets are used for experiments and both qualitative and quantitative results are shown in this paper. Our algorithm succeed the target re-detection in challenging datasets while conventional correlation filter fails.
KW - Visual Tracking;Correlation Filter;Searching Area;Re-detection;Long-term Tracking
DO - 10.9708/jksci.2020.25.07.057
ER -
Ka-Young Park. (2020). Scalable Re-detection for Correlation Filter in Visual Tracking. Journal of The Korea Society of Computer and Information, 25(7), 57-64.
Ka-Young Park. 2020, "Scalable Re-detection for Correlation Filter in Visual Tracking", Journal of The Korea Society of Computer and Information, vol.25, no.7 pp.57-64. Available from: doi:10.9708/jksci.2020.25.07.057
Ka-Young Park "Scalable Re-detection for Correlation Filter in Visual Tracking" Journal of The Korea Society of Computer and Information 25.7 pp.57-64 (2020) : 57.
Ka-Young Park. Scalable Re-detection for Correlation Filter in Visual Tracking. 2020; 25(7), 57-64. Available from: doi:10.9708/jksci.2020.25.07.057
Ka-Young Park. "Scalable Re-detection for Correlation Filter in Visual Tracking" Journal of The Korea Society of Computer and Information 25, no.7 (2020) : 57-64.doi: 10.9708/jksci.2020.25.07.057
Ka-Young Park. Scalable Re-detection for Correlation Filter in Visual Tracking. Journal of The Korea Society of Computer and Information, 25(7), 57-64. doi: 10.9708/jksci.2020.25.07.057
Ka-Young Park. Scalable Re-detection for Correlation Filter in Visual Tracking. Journal of The Korea Society of Computer and Information. 2020; 25(7) 57-64. doi: 10.9708/jksci.2020.25.07.057
Ka-Young Park. Scalable Re-detection for Correlation Filter in Visual Tracking. 2020; 25(7), 57-64. Available from: doi:10.9708/jksci.2020.25.07.057
Ka-Young Park. "Scalable Re-detection for Correlation Filter in Visual Tracking" Journal of The Korea Society of Computer and Information 25, no.7 (2020) : 57-64.doi: 10.9708/jksci.2020.25.07.057
