Papers Visual Object Tracking
“Visual Object Tracking” 태그가 달린 논문 369편 · 필터 해제
D3S -- A Discriminative Single Shot Segmentation Tracker
Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of transformation models, which reduces their l…
ObjectObject TrackingSegmentationSemantic Segmentation+3SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Visual tracking problem demands to efficiently perform robust classification and accurate target state estimation over a given target at the same time. Former methods have proposed various ways of target state estimation…
ClassificationGeneral ClassificationRobust classificationState Estimation+2On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance
Visual object tracking is an important function in many real-time video surveillance applications, such as localization and spatio-temporal recognition of persons. In real-world applications, an object detector and track…
Change DetectionObjectObject TrackingVisual Object TrackingSPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
Adversarial attacks of deep neural networks have been intensively studied on image, audio, natural language, patch, and pixel classification tasks. Nevertheless, as a typical, while important real-world application, the …
Adversarial AttackObject TrackingVideo Object TrackingVisual Object Tracking+1CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
We propose a new color-and-depth general visual object tracking benchmark (CDTB). CDTB is recorded by several passive and active RGB-D setups and contains indoor as well as outdoor sequences acquired in direct sunlight. …
Object TrackingVisual Object TrackingCapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
In this work we propose a capsule-based approach for semi-supervised video object segmentation. Current video object segmentation methods are frame-based and often require optical flow to capture temporal consistency acr…
ObjectOne-shot visual object segmentationOptical Flow EstimationSegmentation+5Energy-Based Models for Deep Probabilistic Regression
While deep learning-based classification is generally tackled using standardized approaches, a wide variety of techniques are employed for regression. In computer vision, one particularly popular such technique is that o…
Head Pose Estimationobject-detectionObject DetectionPose Estimation+3GradNet: Gradient-Guided Network for Visual Object Tracking
The fully-convolutional siamese network based on template matching has shown great potentials in visual tracking. During testing, the template is fixed with the initial target feature and the performance totally relies o…
ObjectObject TrackingTemplate MatchingVisual Object Tracking+1Discriminative and Robust Online Learning for Siamese Visual Tracking
The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matching the object with the target in an offli…
Object TrackingVisual Object TrackingVisual TrackingHigh Performance Visual Object Tracking with Unified Convolutional Networks
Convolutional neural networks (CNN) based tracking approaches have shown favorable performance in recent benchmarks. Nonetheless, the chosen CNN features are always pre-trained in different tasks and individual component…
ObjectObject TrackingVisual Object TrackingVocal Bursts Intensity PredictionEffects of Blur and Deblurring to Visual Object Tracking
Intuitively, motion blur may hurt the performance of visual object tracking. However, we lack quantitative evaluation of tracker robustness to different levels of motion blur. Meanwhile, while image deblurring methods ca…
DeblurringImage DeblurringObject TrackingVisual Object TrackingDomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance on recent benchmarks. However, Siamese trackers do not fully utilize sem…
image-classificationImage ClassificationObjectObject Tracking+2Boundary Effect-Aware Visual Tracking for UAV with Online Enhanced Background Learning and Multi-Frame Consensus Verification
Due to implicitly introduced periodic shifting of limited searching area, visual object tracking using correlation filters often has to confront undesired boundary effect. As boundary effect severely degrade the quality …
ObjectObject TrackingVisual Object TrackingVisual TrackingJoint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
We propose a new Group Feature Selection method for Discriminative Correlation Filters (GFS-DCF) based visual object tracking. The key innovation of the proposed method is to perform group feature selection across both c…
channel selectionfeature selectionObject TrackingVisual Object TrackingReal-time Visual Object Tracking with Natural Language Description
In recent years, deep-learning-based visual object trackers have been studied thoroughly, but handling occlusions and/or rapid motion of the target remains challenging. In this work, we argue that conditioning on the nat…
GPUObjectObject TrackingVisual Object TrackingAn Efficient 3D CNN for Action/Object Segmentation in Video
Convolutional Neural Network (CNN) based image segmentation has made great progress in recent years. However, video object segmentation remains a challenging task due to its high computational complexity. Most of the pre…
Action SegmentationDecoderImage SegmentationObject+6Tracking Holistic Object Representations
Recent advances in visual tracking are based on siamese feature extractors and template matching. For this category of trackers, latest research focuses on better feature embeddings and similarity measures. In this work,…
DiversityObjectTemplate MatchingVisual Object Tracking+1Fast Visual Object Tracking with Rotated Bounding Boxes
In this paper, we demonstrate a novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(mask) on the target for online and real-time visual object tracking. Ou…
GPUObjectObject TrackingVideo Object Tracking+1CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength…
BenchmarkingObject TrackingVisual Object TrackingPerformance Evaluation Methodology for Long-Term Visual Object Tracking
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength…
BenchmarkingObjectObject TrackingVisual Object Tracking