@inproceedings{17e832d102da4e93bad037ba13058db7,
title = "An online LC-KSVD based dictionary learning for multi-target tracking",
abstract = "In this paper, we propose a novel framework for multi-objects tracking on solving two kind of challenges. One is how to discriminate different targets with similar appearance, the other is distinct the single target with serious variation over time. The proposed framework extracts discriminative appearance information of different objects from historical recordings of all tracked targets by a label consistent K-SVD (LC-KSVD) dictionary learning method. We validated our proposed framework on three publicly available video sequences with some state-of-the-art approaches. The experiment results showed that our proposed method achieves competitive results with 7.7% improvement in MOTP.",
keywords = "Appearance model, Dictionary learning, Multi-objects tracking",
author = "Shuo Tang and Zhang, {Long Fei} and Yan, {Jia Li} and Tan, {Xiang Wei} and Ding, {Gang Yi}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Information System and Artificial Intelligence, ISAI 2016 ; Conference date: 24-06-2016 Through 26-06-2016",
year = "2017",
month = jan,
day = "12",
doi = "10.1109/ISAI.2016.0139",
language = "English",
series = "Proceedings - 2016 International Conference on Information System and Artificial Intelligence, ISAI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "630--633",
booktitle = "Proceedings - 2016 International Conference on Information System and Artificial Intelligence, ISAI 2016",
address = "United States",
}