Video object tracking algorithm based on dual-branch online optimization and feature fusion
Object Tracking and Recognition|更新时间:2024-08-16
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Video object tracking algorithm based on dual-branch online optimization and feature fusion
“In the field of video object tracking, researchers have proposed an algorithm based on dual branch online optimization and feature fusion, which effectively improves the discriminative ability, accuracy, and robustness of tracking targets.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 8, Pages: 1079-1089(2024)
作者机构:
1.西安工业大学 电子信息工程学院, 陕西 西安 710021
2.西安机电信息技术研究所, 陕西 西安 710065
作者简介:
基金信息:
National Natural Science Foundation of China(No.62171360)(62171360);Key Research and Development Program of Shaanxi Provincial Science and Technology Department(2024GX-YBXM-162);Project of Engineering Technology Research Center of Shaanxi Province for Intelligent Testing and Reliability Evaluation of Electronic Equipments(2023-ZC-GCZX-0047);2022 Annual Youth Innovation Team Project of Shaanxi Universities;Project of Shandong Key Laboratory of Smart Transportation (Preparation);Project of 2023 Shaanxi University Engineering Research Center;Project of Xi'an Key Laboratory of Military Civilian Dual-Use Intelligent Evaluation Technology
LI Xinpeng, WANG Peng, LI Xiaoyan, et al. Video object tracking algorithm based on dual-branch online optimization and feature fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1079-1089.
DOI:
LI Xinpeng, WANG Peng, LI Xiaoyan, et al. Video object tracking algorithm based on dual-branch online optimization and feature fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1079-1089. DOI: 10.37188/CJLCD.2023-0256.
Video object tracking algorithm based on dual-branch online optimization and feature fusion