Video Tracking Based on Election Campaign Algorithm

DOI

10.2991/mcei-16.2016.166How to use a DOI?

Keywords

Video tracking; Grey scale feature; Focus center; Election campaign algorithm

Abstract

Grey scale feature is not sensitive to the deformation and rotation in the image, and has good stability to detect similarity of image sequence. Using grey scale feature as object function, Election Campaign Algorithm considers the tracking windows as the effect ranges and focus center, the problem of video tracking converges to the optimal evaluation function to the central point. The focus center get the feature different to the background and can be tracking the movement of the target. Random points around the focus center are generated to test the range of tracking window and determine the start point of focus center in the next image of the sequence. The simulation results show that the presented algorithm of video tracking is able to apply in real time, and the tracking performance is superior to conventional algorithms.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qinghua Xie
AU  - Xiangwei Zhang
AU  - Wenge Lv
AU  - Siyuan Cheng
PY  - 2016/12
DA  - 2016/12
TI  - Video Tracking Based on Election Campaign Algorithm
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 799
EP  - 803
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.166
DO  - 10.2991/mcei-16.2016.166
ID  - Xie2016/12
ER  -