Volume 37, Number 6, December 2019
|Page(s)||1264 - 1270|
|Published online||11 February 2020|
A Correlation Filter Target Tracking Algorithm Based on Continuous Convolution Operator and Spatial-Temporal Regularization Term
School of Electronics and Information Engineering, Xi'an Technological University, Xi'an 710021, China
In order to accurately estimate the location of a target that is occluded and rotated rapidly by the STRCF algorithm, a correlation filter target tracking algorithm based on continuous convolution operator and spatial-temporal regularization term is proposed. The algorithm uses interpolation operators to transform a response function into a continuous function within a certain period, thus enhancing the accuracy of target location. Spatial-temporal regularization terms are added to the new model of correlation filter to ensure that it is similar to the model of the previous frame of image and that the algorithm is more robust. A fast multi-scale filter is used to update the scale, thus improving the computational efficiency. The experimental results show that the average overlap rate of the proposed algorithm can reach 73% and that the central position error is less than 8.2. The proposed algorithm can achieve a real-time and robust target tracking.
Key words: target tracking / correlation filter / continuous convolution operator / spatial-temporal regularization term
关键字 : 目标跟踪 / 相关滤波 / 连续卷积 / 时空正则项
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.