@inproceedings{aafc8b62e0a9433e829b0715dfccde98,
title = "A modified KLT multiple objects tracking framework based on global segmentation and adaptive template",
abstract = "This paper presents a modified Kanade-Lucas-Tomasi (KLT) tracking framework for multiple objects tracking applications. First, the framework includes a global pixel-level probabilistic model and an adaptive RGB template model to modify traditional KLT tracker more robust to track multiple objects and partial occlusions. Meanwhile, a Merge and Split algorithm is introduced in the proposed framework to track complete occlusions. The advantage of our method is demonstrated on a variety of challenging video sequences.1",
author = "Kang Xue and Vela, \{Patricio A.\} and Yue Liu and Yongtian Wang",
year = "2012",
language = "English",
isbn = "9784990644109",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3561--3564",
booktitle = "ICPR 2012 - 21st International Conference on Pattern Recognition",
address = "United States",
note = "21st International Conference on Pattern Recognition, ICPR 2012 ; Conference date: 11-11-2012 Through 15-11-2012",
}