@inproceedings{910c59bf8ad249018e5cb5c7003ef222,
title = "Patch-based object tracking using corner and color with partial occlusion handling",
abstract = "This paper proposes a novel patch-based object tracking algorithm combining Harris-SIFT and color histogram features to handle the partial occlusion problem. The object is represented as a number of non-overlapping patches. Harris-SIFT feature is defined as Harris corner and its SIFT feature vector, which can represent steady parts of the object when it is partially transformed or occluded. The Harris-SIFT corner matching results are then used for filtering out invalid patches of the object. Patch-based color histogram takes spatial information into account and is guided by valid patch selection, thus provides a richer description of the object than the traditional color histogram. The average valid patch color histogram similarity is used in particle filter to locate the object. The experimental results show that the proposed algorithm is more accurate, robust and efficient than state-of-the-art object tracking algorithms in occlusion scenario.",
keywords = "Harris-SIFT, color histogram, object tracking, particle filter, valid patch selection",
author = "Wenbei Mao and Jin Zheng and Bo Li",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014 ; Conference date: 16-05-2014 Through 18-05-2014",
year = "2014",
month = dec,
day = "2",
doi = "10.1109/PIC.2014.6972339",
language = "英语",
series = "PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "269--274",
editor = "Yinglin Wang and Xuelong Li and Hongming Cai",
booktitle = "PIC 2014 - Proceedings of 2014 IEEE International Conference on Progress in Informatics and Computing",
address = "美国",
}