@inproceedings{227ea125b1ce473b90bb4b3108aef4a4,
title = "Moving object tracking using multiple views and data association",
abstract = "In this paper, a moving object tracking method using multiple views of the same scene taken by three cameras are presented. The object of interest is the pedestrian in the street. Unlike the single view method, the proposed multi-view method can effectively exploit extra information available in the other views when the object of interest in one of the views falls into an occlusion or clutter environment. Making a relation of an object detected in one view with the ones in the other views is critical and it is obtained by data association. The simulation results show a significant performance improvement over the conventional one.",
keywords = "Data association, Moving object detection and tracking, Multiple views",
author = "Ahn, \{Young Shin\} and Choi, \{Jae Ho\} and Ahmed Mohammed",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 3rd International Conference on Electronics, Mechatronics and Automation, ICEMA 2014 ; Conference date: 22-08-2014 Through 23-08-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.666.226",
language = "English",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "226--229",
editor = "Maode Ma and Wu, \{Amanda F.\} and Z. Afrasiabi and Z. Afrasiabi and Maode Ma and Wu, \{Amanda F.\}",
booktitle = "Electronics, Mechatronics and Automation III",
}