@inproceedings{9d53a99006b74cb989d6acb419a75c49,
title = "Scale and orientation adaptive histogram-based object tracking in video sequences",
abstract = "Object tracking is one of the essential parts in robot vision. Among many proposed, the mean shift algorithm is robust and accurate, however, it has a room to improve when the objects of interest undergo scaling and/or rotation changes. In this paper, on top of the standard histogram-based tracking algorithm, a novel method for adapting to changes in scale and orientation is incorporated as a means to improve moving objects tracking performance. Using various test video sets, computer simulations are run to verify the tracking performance of the proposed tracking system and compared to those of the conventional mean-shift algorithm. The results show that the proposed method outperforms the conventional MSA in terms of tracking accuracy.",
author = "Zicheng Ren and Youngshin Ahn and Jaeho Choi",
note = "Publisher Copyright: {\textcopyright} 2014 Taylor \& Francis Group, London.; 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 ; Conference date: 14-10-2013 Through 16-10-2014",
year = "2014",
doi = "10.1201/b15810-10",
language = "English",
isbn = "9781138000810",
series = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",
publisher = "CRC Press/Balkema",
pages = "45--50",
editor = "Jo{\~a}o Manuel and R.S. Tavares and Jorge, \{R.M. Natal\}",
booktitle = "Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013",
}