Papers Real-Time Visual Tracking
“Real-Time Visual Tracking” 태그가 달린 논문 22편 · 필터 해제
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
This paper considers a scenario of pursuing a moving target that may switch behaviors due to external factors in a dynamic environment by motion estimation using visual sensors. First, we present an improved Visual Motio…
3D Pose Estimationdrone-based object trackingGaussian ProcessesMotion Estimation+1Towards Real-Time Visual Tracking with Graded Color-names Features
MeanShift algorithm has been widely used in tracking tasks because of its simplicity and efficiency. However, the traditional MeanShift algorithm needs to label the initial region of the target, which reduces the applica…
Real-Time Visual TrackingVisual TrackingSRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
Region-based methods have become increasingly popular for model-based, monocular 3D tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the-art results, most methods are computation…
3D Multi-Object Tracking3D Object TrackingMultiple Object TrackingObject Tracking+3BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
Tracking the 6D pose of objects in video sequences is important for robot manipulation. Most prior efforts, however, often assume that the target object's CAD model, at least at a category-level, is available for offline…
3D Object Tracking6D Pose Estimation6D Pose Estimation using RGB6D Pose Estimation using RGBD+7DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network
Discriminative correlation filters (DCF) and siamese networks have achieved promising performance on visual tracking tasks thanks to their superior computational efficiency and reliable similarity metric learning, respec…
Computational EfficiencyMetric LearningReal-Time Visual TrackingVisual TrackingDR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the backg…
CPUReal-Time Visual TrackingregressionVisual TrackingFully Convolutional Online Tracking
Online learning has turned out to be effective for improving tracking performance. However, it could be simply applied for classification branch, but still remains challenging to adapt to regression branch due to its com…
Real-Time Visual TrackingregressionVisual TrackingObject-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation
In recent years, deep learning based visual tracking methods have obtained great success owing to the powerful feature representation ability of Convolutional Neural Networks (CNNs). Among these methods, classification-b…
Computational EfficiencyData AugmentationGeneral ClassificationGenerative Adversarial Network+2Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
More powerful feature representations derived from deep neural networks benefit visual tracking algorithms widely. However, the lack of exploitation on temporal information prevents tracking algorithms from adapting to a…
Motion EstimationReal-Time Visual 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 TrackingSiamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
Region proposal networks (RPN) have been recently combined with the Siamese network for tracking, and shown excellent accuracy with high efficiency. Nevertheless, previously proposed one-stage Siamese-RPN trackers degene…
Real-Time Visual TrackingRegion ProposalVisual 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+6Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots
The use of a team of humanoid robots to collaborate in completing a task is an increasingly important field of research. One of the challenges in achieving collaboration, is mutual identification and tracking of the robo…
Real-Time Visual TrackingVisual TrackingFPGA-based Acceleration System for Visual Tracking
Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-time performance when applied in the real s…
Real-Time Visual TrackingVisual TrackingStructured Siamese Network for Real-Time Visual Tracking
Local structure of target objects are essential for robust tracking. However, existing methods based on deep neural networks mostly describe the target appearance from the global view, leading to high sensitivity to non-…
Real-Time Visual TrackingVisual TrackingDeep Meta Learning for Real-Time Target-Aware Visual Tracking
In this paper, we propose a novel on-line visual tracking framework based on the Siamese matching network and meta-learner network, which run at real-time speeds. Conventional deep convolutional feature-based discriminat…
Meta-LearningReal-Time Visual TrackingVisual TrackingUCT: Learning Unified Convolutional Networks for Real-time Visual Tracking
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 task and individual components…
Real-Time Visual TrackingVisual TrackingReal-time visual tracking by deep reinforced decision making
One of the major challenges of model-free visual tracking problem has been the difficulty originating from the unpredictable and drastic changes in the appearance of objects we target to track. Existing methods tackle th…
Deep Reinforcement LearningReal-Time Visual Trackingreinforcement-learningReinforcement Learning+2Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning
Correlation filtering based tracking model has received lots of attention and achieved great success in real-time tracking, however, the lost function in current correlation filtering paradigm could not reliably response…
Real-Time Visual TrackingVisual TrackingReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements
The goal of this paper is to present a non-iterative and more importantly an extremely fast algorithm to reconstruct images from compressively sensed (CS) random measurements. To this end, we propose a novel convolution…
Real-Time Visual TrackingVisual Tracking