Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xizhe Xue"'
Publikováno v:
Journal of Real-Time Image Processing. 19:417-427
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Hyperspectral image (HSI) classification has been a hot topic for decides, as hyperspectral images have rich spatial and spectral information and provide strong basis for distinguishing different land-cover objects. Benefiting from the development of
Publikováno v:
Sensors (14248220). Sep2018, Vol. 18 Issue 9, p2751. 16p.
Publikováno v:
Remote Sensing, Vol 10, Iss 10, p 1644 (2018)
Following the growing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on object tracking using videos recorded from UAVs. However, tracking from UAV videos poses many
Externí odkaz:
https://doaj.org/article/b31e583d6ddf418baa0612c6ea5e98ae
Publikováno v:
Multimedia Tools and Applications. 78:21187-21204
Particle filters have been proven very successful for non-linear and non-Gaussian estimation problems and extensively used in object tracking. However, high computational costs and particle decadency problem limit its practical application. In this p
Publikováno v:
Neurocomputing. 317:137-148
Correlation filter based trackers have achieved appealing performance and high efficiency in recent years. However, for long-term tracking where target objects undergo dramatic appearance variation due to heavy occlusion or out-of-view, conventional
Publikováno v:
IEEE transactions on cybernetics. 52(4)
Discriminative correlation filter (DCF) has contributed tremendously to address the problem of object tracking benefitting from its high computational efficiency. However, it has suffered from performance degradation in unmanned aerial vehicle (UAV)
Autor:
Bo Han, Han Wu, Longyin Wen, Xiaoxue Li, Wenjun Zhu, Wei Shi, Haibin Ling, Yong Yang, Zhipeng Zhang, Kaiqi Huang, Pengfei Zhu, Zhen-Hua Feng, Wei Song, Zhiyong Yu, Xi Yu, Lianghua Huang, Xizhe Xue, Guizhong Liu, Yong Wang, Liefeng Bo, Yuting Yang, Tianyang Xu, Shiyu Xuan, Xianhai Wang, Yue Zhang, Xueyuan Yang, Hailin Shi, Kaihua Zhang, Zhuojin Sun, Lingling Shi, Shikun Li, Ruiyan Ma, Xinyao Wang, Shengyin Zhu, Ying Li, Kangkai Zhang, Zeyu Wang, Ning Wang, Ting He, Dawei Du, Shanrong Zou, Jie Chen, Lu Ding, Yanjie Gao, Shengwei Zhao, Jiayu Zheng, Jie Gao, Jinghao Zhou, Ruohan Zhang, Qinghua Hu, Jinwang Wang, Xin Zhang, Shiming Ge, Jie Zhang, Chunhui Zhang, Lijun Zhou, Xiaoyue Yin, Yanyun Zhao, Robert Laganiere, Tao Peng, Qintao Hu, Xiaojun Wu, Jiaqing Fan, Weiming Hu, Kang Yang, Haoran Wang, Yuxuan Li, Xiao Bian, Wenhua Zhang, Josef Kittler, Xu Lei, Hao Wen, Zhizhao Duan, Jiuqing Wan, Shengyang Li, Xiaotong Li, Rui Zhu, Jinliu Zhou, Xin Zhao, Yinda Xu, Peng Wang
Publikováno v:
ICCV Workshops
The Vision Meets Drone (VisDrone2019) Single Object Tracking challenge is the second annual research activity focusing on evaluating single-object tracking algorithms on drones, held in conjunction with the International Conference on Computer Vision
Publikováno v:
WIREs Data Mining and Knowledge Discovery. 8
Publikováno v:
Remote Sensing, Vol 10, Iss 10, p 1644 (2018)
Remote Sensing
Volume 10
Issue 10
Pages: 1644
Remote Sensing
Volume 10
Issue 10
Pages: 1644
Following the growing availability of low-cost, commercially available unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on object tracking using videos recorded from UAVs. However, tracking from UAV videos poses many