Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking
Visual object tracking is one of the major challenges in the field of computer vision. Correlation Filter (CF) trackers are one of the most widely used categories in tracking. Though numerous tracking algorithms based on…
ObjectObject TrackingVisual Object TrackingLightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
In this paper, we propose a novel effective light-weight framework, called LightTrack, for online human pose tracking. The proposed framework is designed to be generic for top-down pose tracking and is faster than existi…
Object TrackingPose EstimationPose TrackingVisual Object TrackingPhysical Adversarial Textures that Fool Visual Object Tracking
We present a system for generating inconspicuous-looking textures that, when displayed in the physical world as digital or printed posters, cause visual object tracking systems to become confused. For instance, as a targ…
ObjectObject TrackingVisual Object TrackingLearning Discriminative Model Prediction for Tracking
The current strive towards end-to-end trainable computer vision systems imposes major challenges for the task of visual tracking. In contrast to most other vision problems, tracking requires the learning of a robust targ…
modelObject TrackingPredictionVideo Object Tracking+2SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking
The greatest challenge facing visual object tracking is the simultaneous requirements on robustness and discrimination power. In this paper, we propose a SiamFC-based tracker, named SPM-Tracker, to tackle this challenge.…
GPUObject TrackingVisual Object TrackingSpatiotemporal CNN for Video Object Segmentation
In this paper, we present a unified, end-to-end trainable spatiotemporal CNN model for VOS, which consists of two branches, i.e., the temporal coherence branch and the spatial segmentation branch. Specifically, the tempo…
ObjectSegmentationSemantic SegmentationSemi-Supervised Video Object Segmentation+4SiamVGG: Visual Tracking using Deeper Siamese Networks
Recently, we have seen a rapid development of Deep Neural Network (DNN) based visual tracking solutions. Some trackers combine the DNN-based solutions with Discriminative Correlation Filters (DCF) to extract semantic fea…
Object TrackingVisual Object TrackingVisual TrackingDeeper and Wider Siamese Networks for Real-Time Visual Tracking
Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed. However, the backbone networks used in Siamese trackers are relatively shallow, such as AlexNet [18], which doe…
Real-Time Visual TrackingVideo Object TrackingVisual Object TrackingVisual TrackingSiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Siamese network based trackers formulate tracking as convolutional feature cross-correlation between target template and searching region. However, Siamese trackers still have accuracy gap compared with state-of-the-art …
TranslationVisual Object TrackingVisual TrackingFast Online Object Tracking and Segmentation: A Unifying Approach
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 SiamMask, improves the offline trainin…
ObjectObject TrackingReal-Time Visual TrackingSegmentation+6Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends
In recent years visual object tracking has become a very active research area. An increasing number of tracking algorithms are being proposed each year. It is because tracking has wide applications in various real world …
Autonomous VehiclesObject TrackingVisual Object TrackingMulti-hierarchical Independent Correlation Filters for Visual Tracking
For visual tracking, most of the traditional correlation filters (CF) based methods suffer from the bottleneck of feature redundancy and lack of motion information. In this paper, we design a novel tracking framework, ca…
Motion EstimationObject TrackingVisual Object TrackingVisual TrackingATOM: Accurate Tracking by Overlap Maximization
While recent years have witnessed astonishing improvements in visual tracking robustness, the advancements in tracking accuracy have been limited. As the focus has been directed towards the development of powerful classi…
General ClassificationObject TrackingState EstimationVisual Object Tracking+1Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations. To cope with this problem, a promising solution is to integr…
Multi-Task LearningMULTI-VIEW LEARNINGObject TrackingVisual Object Tracking+1Visual Object Tracking based on Adaptive Siamese and Motion Estimation Network
Recently, convolutional neural network (CNN) has attracted much attention in different areas of computer vision, due to its powerful abstract feature representation. Visual object tracking is one of the interesting and i…
Motion EstimationObject TrackingVisual Object TrackingEfficient Counterfactual Learning from Bandit Feedback
What is the most statistically efficient way to do off-policy evaluation and optimization with batch data from bandit feedback? For log data generated by contextual bandit algorithms, we consider offline estimators for t…
Causal InferencecounterfactualOff-policy evaluationVisual Object TrackingTowards a Better Match in Siamese Network Based Visual Object Tracker
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance. Despite the great success, this tracking framework still suffers from several limitations. Fi…
Visual Object TrackingYouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Learning long-term spatial-temporal features are critical for many video analysis tasks. However, existing video segmentation methods predominantly rely on static image segmentation techniques, and methods capturing temp…
Image SegmentationObjectOne-shot visual object segmentationOptical Flow Estimation+7Multiple Context Features in Siamese Networks for Visual Object Tracking
Siamese networks have been successfully utilized to learn a robust matching function between pairs of images. Visual object tracking methods based on siamese networks have been gaining popularity recently due to their ro…
Object TrackingVisual Object TrackingDistractor-aware Siamese Networks for Visual Object Tracking
Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. However, features used in most Siamese tracking approaches can only discriminate foreground…
Incremental LearningObjectObject TrackingVideo Object Tracking+2