Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Unified Graph based Multi-Cue Feature Fusion for Robust Visual Tracking
Visual Tracking is a complex problem due to unconstrained appearance variations and dynamic environment. Extraction of complementary information from the object environment via multiple features and adaption to the targe…
ObjectObject TrackingOutlier DetectionVisual 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+6Multiview Supervision By Registration
This paper presents a semi-supervised learning framework to train a keypoint detector using multiview image streams given the limited labeled data (typically $<$4\%). We leverage the complementary relationship between mu…
3D ReconstructionKeypoint DetectionOptical Flow EstimationVisual 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 TrackingFANet: Quality-Aware Feature Aggregation Network for Robust RGB-T Tracking
This paper investigates how to perform robust visual tracking in adverse and challenging conditions using complementary visual and thermal infrared data (RGBT tracking). We propose a novel deep network architecture calle…
Rgb-T 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+1Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and speed. However, correlation filter based mod…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking. However, the multi-resolution convolutional feature maps trained from other tasks like image…
image-classificationImage ClassificationVisual TrackingReal-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 TrackingEfficient Multi-level Correlating for Visual Tracking
Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimization methods which constraint their real-ti…
Visual 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 Tracking3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping
Video-mapping is the process of coherent video-projection of images, animations or movies on static objects or buildings for shows. This paper focuses on the dynamic video-mapping of the suit of a puppet being moved by i…
Visual TrackingDeep Attentive Tracking via Reciprocative Learning
Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data. Recently, significant efforts have been made to exploit attention schemes to advance c…
Visual TrackingVariational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers
In this paper we address the problem of tracking multiple speakers via the fusion of visual and auditory information. We propose to exploit the complementary nature of these two modalities in order to accurately estimate…
Bayesian InferenceVariational InferenceVisual TrackingAdversarial Feature Sampling Learning for Efficient Visual Tracking
The tracking-by-detection framework usually consist of two stages: drawing samples around the target object in the first stage and classifying each sample as the target object or background in the second stage. Current p…
Generative Adversarial NetworkObjectVisual TrackingLearning regression and verification networks for long-term visual tracking
Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection …
General ClassificationObjectRegion Proposalregression+1Structured 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 TrackingReal-time 'Actor-Critic' Tracking
In this work, we propose a novel tracking algorithm with real-time performance based on the âActor-Criticâ framework. This framework consists of two major components: âActorâ and âCriticâ. The âActorâ mod…
Reinforcement LearningVisual Tracking