@inproceedings{a0e866f881fc407092815b1146f105a7,
title = "Prediction-assisted moving objects tracking in severe occlusions and background clutters",
abstract = "Moving objects tracking in severe occlusions and background clutters is investigated in this paper. The proposed method is based on a new adaptive Kalman filter design and meanshift algorithm with measurement drift correction using a foreground correlation tracker. The performance of the proposed method has been verified using several sets of video sequences; and the results show that it can track multi-objects of interest under complete or partial occlusions, which are caused by background objects or other moving objects, even when the objects involved in occlusions have a similar color texture.",
author = "Mohammed Ahmed 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",
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 = "39--44",
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",
}