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@article{ART002193630},
author={Kim Hyoyeon and Kim Kisang and HYUNG IL CHOI},
title={A Method of Tracking Object using Particle Filter and Adaptive Observation},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={1},
pages={1-7},
doi={10.9708/jksci.2017.22.01.001}

TY - JOUR
AU - Kim Hyoyeon
AU - Kim Kisang
AU - HYUNG IL CHOI
TI - A Method of Tracking Object using Particle Filter and Adaptive Observation
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 1
PB - The Korean Society Of Computer And Information
SP - 1
EP - 7
SN - 1598-849X
AB - In this paper, we propose an efficient method that is tracking an object in real time using particle filter and adaptive observation model. When tracking object, it happens object shape variation by camera or object movement in variety environments. The traditional method has an error of tracking from these variation, because it has fixed observation model about the selected object by the user in the initial frame. In order to overcome these problems, we propose a method that updates the observation model by calculating the similarity between the used observation model and the eight-way of edge model from the current position. If the similarity is higher than the threshold value, tracking the object using updated observation model to reset observation model. On the contrary to this, the algorithm which consists of a process is to maintain the used observation model. Finally, this paper demonstrates the performance of the stable tracking through comparison with the traditional method by using a number of experimental data.
KW - Particle Filter;observation model;update;object tracking
DO - 10.9708/jksci.2017.22.01.001
ER -

Kim Hyoyeon, Kim Kisang and HYUNG IL CHOI. (2017). A Method of Tracking Object using Particle Filter and Adaptive Observation. Journal of The Korea Society of Computer and Information, 22(1), 1-7.

Kim Hyoyeon, Kim Kisang and HYUNG IL CHOI. 2017, "A Method of Tracking Object using Particle Filter and Adaptive Observation", Journal of The Korea Society of Computer and Information, vol.22, no.1 pp.1-7. Available from: doi:10.9708/jksci.2017.22.01.001

Kim Hyoyeon, Kim Kisang, HYUNG IL CHOI "A Method of Tracking Object using Particle Filter and Adaptive Observation" Journal of The Korea Society of Computer and Information 22.1 pp.1-7 (2017) : 1.

Kim Hyoyeon, Kim Kisang, HYUNG IL CHOI. A Method of Tracking Object using Particle Filter and Adaptive Observation. 2017; 22(1), 1-7. Available from: doi:10.9708/jksci.2017.22.01.001

Kim Hyoyeon, Kim Kisang and HYUNG IL CHOI. "A Method of Tracking Object using Particle Filter and Adaptive Observation" Journal of The Korea Society of Computer and Information 22, no.1 (2017) : 1-7.doi: 10.9708/jksci.2017.22.01.001

Kim Hyoyeon; Kim Kisang; HYUNG IL CHOI. A Method of Tracking Object using Particle Filter and Adaptive Observation. Journal of The Korea Society of Computer and Information, 22(1), 1-7. doi: 10.9708/jksci.2017.22.01.001

Kim Hyoyeon; Kim Kisang; HYUNG IL CHOI. A Method of Tracking Object using Particle Filter and Adaptive Observation. Journal of The Korea Society of Computer and Information. 2017; 22(1) 1-7. doi: 10.9708/jksci.2017.22.01.001

Kim Hyoyeon, Kim Kisang, HYUNG IL CHOI. A Method of Tracking Object using Particle Filter and Adaptive Observation. 2017; 22(1), 1-7. Available from: doi:10.9708/jksci.2017.22.01.001

Kim Hyoyeon, Kim Kisang and HYUNG IL CHOI. "A Method of Tracking Object using Particle Filter and Adaptive Observation" Journal of The Korea Society of Computer and Information 22, no.1 (2017) : 1-7.doi: 10.9708/jksci.2017.22.01.001