Trajectory kinematics descriptor for trajectory clustering in surveillance videos

Wei Cheng Wang, Pau-Choo Chung, Hsin Wei Cheng, Chun Rong Huang

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

Trajectories provide spatial-temporal information of foreground objects for event clustering and analysis. Because of the kinematic properties of foreground objects, the lengths of trajectories will be different which lead to the length problem of assessing similarity between two or more trajectories. To solve the problem, we propose a novel descriptor named trajectory kinematics descriptor to represent trajectories based on the kinematic properties from the point-of-view of Frenet-Serret frames. As shown in the experiments, applying the proposed trajectory kinematics descriptor for event clustering can achieve better F-measure scores compared to the state-of-the-art methods.

原文English
主出版物標題2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1198-1201
頁數4
ISBN(電子)9781479983919
DOIs
出版狀態Published - 2015 七月 27
事件IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
持續時間: 2015 五月 242015 五月 27

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2015-July
ISSN(列印)0271-4310

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
國家Portugal
城市Lisbon
期間15-05-2415-05-27

    指紋

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

引用此

Wang, W. C., Chung, P-C., Cheng, H. W., & Huang, C. R. (2015). Trajectory kinematics descriptor for trajectory clustering in surveillance videos. 於 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 (頁 1198-1201). [7168854] (Proceedings - IEEE International Symposium on Circuits and Systems; 卷 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2015.7168854