Video Tracking Based on Election Campaign Algorithm
- https://doi.org/10.2991/mcei-16.2016.166How to use a DOI?
- Video tracking; Grey scale feature; Focus center; Election campaign algorithm
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/mcei-16.2016.166 ID - Xie2016/12 ER -