@inproceedings{e3745af93a35414dbe4fb073d3939414,
title = "An optimized target tracking algorithm of online boosting",
abstract = "On the basis of online boosting algorithm, this paper presents an optimized target tracking algorithm. Now, the commonly-used tracking algorithm usually tracks the targets as a whole, thus facing great difficulty in realizing effective tracking while the target is severely shielded. In order to surmount the difficulties resulting from shielding, this paper puts forward block-based target tracking algorithm that splits the target into several parts and then locates the target through summing up the tracking results of every part. To meet the changes of target appearance in tracking process, this paper brings forth block-based target tracking algorithm of online boosting in combination with block-based thinking and online boosting framework. The experimental results illustrate that this algorithm has upgraded tracking robustness and accuracy.",
keywords = "block algorithm, online boosting algorithm, strong classifier, visual tracking",
author = "Zhu, \{Liang Yi\} and Rui Zhu and Qing Wang and Dan L{\"u}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014 ; Conference date: 05-08-2014 Through 08-08-2014",
year = "2014",
month = dec,
day = "15",
doi = "10.1109/ICSPCC.2014.6986234",
language = "英语",
series = "2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "450--455",
booktitle = "2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014",
}