Deep learning for visual tracking: A comprehensive survey

SM Marvasti-Zadeh, L Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Deep visual tracking: Review and experimental comparison

P Li, D Wang, L Wang, H Lu - Pattern Recognition, 2018 - Elsevier
Recently, deep learning has achieved great success in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on deep learning. First, we …

[PDF][PDF] 目标跟踪算法综述

孟琭, 杨旭 - 自动化学报, 2019 - aas.net.cn
摘要目标跟踪一直以来都是计算机视觉领域的关键问题, 最近随着人工智能技术的飞速发展,
运动目标跟踪问题得到了越来越多的关注. 本文对主流目标跟踪算法进行了综述, 首先 …

Fast online object tracking and segmentation: A unifying approach

Q Wang, L Zhang, L Bertinetto… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper we illustrate how to perform both visual object tracking and semi-supervised
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …

Visual object tracking with discriminative filters and siamese networks: a survey and outlook

S Javed, M Danelljan, FS Khan… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …

Action-decision networks for visual tracking with deep reinforcement learning

S Yun, J Choi, Y Yoo, K Yun… - Proceedings of the …, 2017 - openaccess.thecvf.com
This paper proposes a novel tracker which is controlled by sequentially pursuing actions
learned by deep reinforcement learning. In contrast to the existing trackers using deep …

Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking

T Xu, ZH Feng, XJ Wu, J Kittler - IEEE Transactions on Image …, 2019 - ieeexplore.ieee.org
With efficient appearance learning models, discriminative correlation filter (DCF) has been
proven to be very successful in recent video object tracking benchmarks and competitions …

目标跟踪算法综述

卢湖川, 李佩霞, 王栋 - 模式识别与人工智能, 2018 - cqvip.com
作为计算机视觉领域的一个重要课题, 在线目标跟踪在导弹制导, 视频监控,
无人机跟踪等众多领域中具有重要作用. 尽管现在已有大量研究, 但是仍然存在很多问题亟待 …

High-speed tracking with kernelized correlation filters

JF Henriques, R Caseiro, P Martins… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The core component of most modern trackers is a discriminative classifier, tasked with
distinguishing between the target and the surrounding environment. To cope with natural …

The visual object tracking vot2015 challenge results

M Kristan, J Matas, A Leonardis… - Proceedings of the …, 2015 - cv-foundation.org
Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …