Deep Motion Features for Visual Tracking

Deep Motion Features for Visual Tracking

20 December 2016

Martin Danelljan

Fahad Shahbaz Khan

Michael Felsberg

Papers citing "Deep Motion Features for Visual Tracking"

12 / 12 papers shown

Title
Flow-guided Semi-supervised Video Object Segmentation Yushan Zhang Andreas Robinson M. Magnusson Michael Felsberg VOS 24 1 0 25 Jan 2023
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes Mehdi Miah J. Pepin Nicolas Saunier Guillaume-Alexandre Bilodeau VOT 15 5 0 15 Oct 2020
Know Your Surroundings: Exploiting Scene Information for Object Tracking Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte 30 314 0 24 Mar 2020
Deep Learning for Visual Tracking: A Comprehensive Survey S. M. Marvasti-Zadeh Li Cheng Hossein Ghanei-Yakhdan S. Kasaei BDL 53 280 0 02 Dec 2019
Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How Feng Li Xiaohe Wu W. Zuo David C. Zhang Lei Zhang 40 9 0 16 May 2019
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning Yanchun Xie Jimin Xiao Hassan Jameel Asghar Jeyarajan Thiyagalingam Dali Kaafar 18 21 0 08 Nov 2018
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking Peng Gao Yipeng Ma Ke Song Chao Li Fei Wang Liyi Xiao 14 33 0 19 Apr 2018
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches M. Fiaz Arif Mahmood Soon Ki Jung AAML 29 49 0 09 Feb 2018
End-to-end Flow Correlation Tracking with Spatial-temporal Attention Zheng Zhu Wei Wu Wei Zou Junjie Yan 38 265 0 03 Nov 2017
Faster Spatially Regularized Correlation Filters for Visual Tracking Xiaoxiang Hu Yujiu Yang 20 2 0 01 Jun 2017
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking Martin Danelljan Andreas Robinson Fahad Shahbaz Khan Michael Felsberg 32 1,692 0 12 Aug 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 189 2,946 0 15 Dec 2014