@inproceedings{2dafffb065cf4827bfce524402fe3303,
title = "Real-time non-rigid object tracking using CAMShift with weighted back projection",
abstract = "The Continuously Adaptive Mean Shift algorithm (CAMShift) is an adaptation of mean shift algorithm for object tracking especially for head and face tracking. Traditional CAMShift can not deal with multi-colored object tracking and situations when similar colors exist nearby. In this paper, a new approach towards these problems using CAMShift with weighted back projection is proposed. In our approach, multidimensional histogram with thresholding strategy is utilized. And a new back projection weighting strategy is proposed for situations when similar colors exist near the tracked object. Through experiments, the results show that the proposed method exceeds the traditional CAMShift in situations with multi-colored object or similar-colored background while keeping the processing speed real-time.",
keywords = "CAMShift, Mean shift, Object tracking, Weighted back projection",
author = "Lei Sun and Bingrong Wang and Takeshi Ikenaga",
year = "2010",
month = jan,
day = "1",
doi = "10.1109/ICCSA.2010.39",
language = "English",
series = "Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "86--91",
editor = "Andres Iglesias and Osvaldo Gervasi and Gavrilova, {Marina L.} and David Taniar and Apduhan, {Bernady O.}",
booktitle = "Proceedings - 2010 10th International Conference on Computational Science and Its Applications, ICCSA 2010",
note = "10th International Conference on Computational Science and Its Applications, ICCSA 2010 ; Conference date: 23-03-2010 Through 26-03-2010",
}