paper-with-me

Papers Visual Object Tracking

“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제

AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee

2020-09-19 · Heon Song, Daiki Suehiro, Seiichi Uchida

For visual object tracking, it is difficult to realize an almighty online tracker due to the huge variations of target appearance depending on an image sequence. This paper proposes an online tracking method that adaptiv…

DeblurringObject TrackingVisual Object Tracking

Ground-truth or DAER: Selective Re-query of Secondary Information

2020-09-16 · ICCV 2021 10 · Stephan J. Lemmer, Jason J. Corso

Many vision tasks use secondary information at inference time -- a seed -- to assist a computer vision model in solving a problem. For example, an initial bounding box is needed to initialize visual object tracking. To d…

Object TrackingScene ClassificationSemantic SegmentationVideo Object Segmentation+3

Hard Occlusions in Visual Object Tracking

2020-09-10 · Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta

Visual object tracking is among the hardest problems in computer vision, as trackers have to deal with many challenging circumstances such as illumination changes, fast motion, occlusion, among others. A tracker is asses…

ObjectObject TrackingVisual Object Tracking

Visual Object Tracking by Segmentation with Graph Convolutional Network

2020-09-05 · Bo Jiang, Panpan Zhang, Lili Huang

Segmentation-based tracking has been actively studied in computer vision and multimedia. Superpixel based object segmentation and tracking methods are usually developed for this task. However, they independently perform …

ObjectObject TrackingSegmentationSemantic Segmentation+2

Learning Global Structure Consistency for Robust Object Tracking

2020-08-26 · Bi Li, Chengquan Zhang, Zhibin Hong, Xu Tang 외

Fast appearance variations and the distractions of similar objects are two of the most challenging problems in visual object tracking. Unlike many existing trackers that focus on modeling only the target, in this work, w…

ObjectObject TrackingVisual Object Tracking

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

2020-08-09 · Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu 외

Correlation filter (CF)-based methods have demonstrated exceptional performance in visual object tracking for unmanned aerial vehicle (UAV) applications, but suffer from the undesirable boundary effect. To solve this iss…

CPUObject TrackingVisual Object Tracking

Integration of the 3D Environment for UAV Onboard Visual Object Tracking

2020-08-06 · Stéphane Vujasinović, Stefan Becker, Timo Breuer, Sebastian Bullinger 외

Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camera motion. To tackle these difficulties, …

3D ReconstructionObjectObject TrackingVisual Object Tracking+1

An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers

2020-08-03 · Matteo Dunnhofer, Niki Martinel, Christian Micheloni

Visual object tracking is the problem of predicting a target object's state in a video. Generally, bounding-boxes have been used to represent states, and a surge of effort has been spent by the community to produce effic…

Object TrackingSegmentationVisual Object Tracking

Self-supervised Object Tracking with Cycle-consistent Siamese Networks

2020-08-03 · Weihao Yuan, Michael Yu Wang, Qifeng Chen

Self-supervised learning for visual object tracking possesses valuable advantages compared to supervised learning, such as the non-necessity of laborious human annotations and online training. In this work, we exploit an…

ObjectObject TrackingRegion ProposalSelf-Supervised Learning+4

Efficient Adversarial Attacks for Visual Object Tracking

2020-08-01 · ECCV 2020 8 · Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao

Visual object tracking is an important task that requires the tracker to find the objects quickly and accurately. The existing state-ofthe-art object trackers, i.e., Siamese based trackers, use DNNs to attain high accura…

GPUObjectObject TrackingVisual Object Tracking+1

Scale Equivariance Improves Siamese Tracking

2020-07-17 · Ivan Sosnovik, Artem Moskalev, Arnold Smeulders

Siamese trackers turn tracking into similarity estimation between a template and the candidate regions in the frame. Mathematically, one of the key ingredients of success of the similarity function is translation equivar…

Object TrackingTranslationVisual Object TrackingVisual Tracking

Tracking the Untrackable

2020-07-17 · Fangyi Zhang

Although short-term fully occlusion happens rare in visual object tracking, most trackers will fail under these circumstances. However, humans can still catch up the target by anticipating the trajectory of the target ev…

Object TrackingVisual Object Tracking

Correlation filter tracking with adaptive proposal selection for accurate scale estimation

2020-07-14 · Luo Xiong, Yanjie Liang, Yan Yan, Hanzi Wang

Recently, some correlation filter based trackers with detection proposals have achieved state-of-the-art tracking results. However, a large number of redundant proposals given by the proposal generator may degrade the pe…

Object TrackingVisual Object Tracking

Tracking-by-Trackers with a Distilled and Reinforced Model

2020-07-08 · Matteo Dunnhofer, Niki Martinel, Christian Micheloni

Visual object tracking was generally tackled by reasoning independently on fast processing algorithms, accurate online adaptation methods, and fusion of trackers. In this paper, we unify such goals by proposing a novel t…

Knowledge DistillationObject TrackingVideo Object TrackingVisual Object Tracking+1

Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking

2020-07-01 · Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut 외

In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for a …

Object TrackingVisual Object Tracking

Motion Prediction in Visual Object Tracking

2020-07-01 · Jianren Wang, Yihui He

Visual object tracking (VOT) is an essential component for many applications, such as autonomous driving or assistive robotics. However, recent works tend to develop accurate systems based on more computationally expensi…

Autonomous Drivingmotion predictionObjectObject Tracking+6

Object Tracking through Residual and Dense LSTMs

2020-06-22 · Fabio Garcea, Alessandro Cucco, Lia Morra, Fabrizio Lamberti

Visual object tracking task is constantly gaining importance in several fields of application as traffic monitoring, robotics, and surveillance, to name a few. Dealing with changes in the appearance of the tracked object…

ObjectObject TrackingVisual Object Tracking

Ocean: Object-aware Anchor-free Tracking

2020-06-18 · ECCV 2020 8 · Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li 외

Anchor-based Siamese trackers have achieved remarkable advancements in accuracy, yet the further improvement is restricted by the lagged tracking robustness. We find the underlying reason is that the regression network i…

ObjectVideo Object TrackingVisual Object Tracking

Accurate Anchor Free Tracking

2020-06-13 · Shengyun Peng, Yunxuan Yu, Kun Wang, Lei He

Visual object tracking is an important application of computer vision. Recently, Siamese based trackers have achieved good accuracy. However, most of Siamese based trackers are not efficient, as they exhaustively search …

ObjectObject TrackingVisual Object Tracking

Multiple-Vehicle Tracking in the Highway Using Appearance Model and Visual Object Tracking

2020-06-12 · Fateme Bafghi, Bijan Shoushtarian

In recent decades, due to the groundbreaking improvements in machine vision, many daily tasks are performed by computers. One of these tasks is multiple-vehicle tracking, which is widely used in different areas such as v…

Object TrackingVisual Object Tracking
← 이전 221–240 / 369 다음 →