@inproceedings{f641ab47c4a348fba01e3bd6027f9ca1,
title = "Visual tracking by the combination of global detector and local image patch matching",
abstract = "This paper presents an approach for visual tracking, consisting of two combination modules, which are global detector and local image patch matching. The former gives the classification response for each object candidate specified by the sliding window in the searching region. The classification can be performed by any global detector, which is based on the feature from the local patch in the object region. To cope with the pose change or deformation of object, the local patch in the object region is allowed to drift in two adjacent frames by searching the best matching position and quantifying the matching metric. Experiments demonstrate the performance of the algorithm especially under certain special cases.",
keywords = "Detection, Template matching, Tracking",
author = "Li Sun and Kai Qu and Shanshan Xu and Song Qiu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/ICIP.2016.7533005",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "3474--3478",
booktitle = "2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings",
address = "美国",
}