Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points
In this paper, we propose a novel indirect monocular SLAM algorithm called "VITAMIN-E," which is highly accurate and robust as a result of tracking extremely dense feature points. Typical indirect methods have difficulty…
3D geometryComputational EfficiencyCPUVisual TrackingSiamese Attentional Keypoint Network for High Performance Visual Tracking
In this paper, we investigate the impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism, and the detection component, and propose a Siamese Attentional Keypoint Network, …
Visual TrackingVocal Bursts Intensity PredictionLearning 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+2Robust Visual Tracking Revisited: From Correlation Filter to Template Matching
In this paper, we propose a novel matching based tracker by investigating the relationship between template matching and the recent popular correlation filter based trackers (CFTs). Compared to the correlation operation …
Template MatchingVisual TrackingPrediction-Tracking-Segmentation
We introduce a prediction driven method for visual tracking and segmentation in videos. Instead of solely relying on matching with appearance cues for tracking, we build a predictive model which guides finding more accur…
PredictionSegmentationVideo SegmentationVideo Semantic Segmentation+1Generic Multiview Visual Tracking
Recent progresses in visual tracking have greatly improved the tracking performance. However, challenges such as occlusion and view change remain obstacles in real world deployment. A natural solution to these challenges…
Camera CalibrationTrajectory PredictionVisual TrackingUnsupervised Deep Tracking
We propose an unsupervised visual tracking method in this paper. Different from existing approaches using extensive annotated data for supervised learning, our CNN model is trained on large-scale unlabeled videos in an u…
Visual TrackingTarget-Aware Deep Tracking
Existing deep trackers mainly use convolutional neural networks pre-trained for generic object recognition task for representations. Despite demonstrated successes for numerous vision tasks, the contributions of using pr…
ObjectObject RecognitionVisual TrackingSparse2Dense: From direct sparse odometry to dense 3D reconstruction
In this paper, we proposed a new deep learning based dense monocular SLAM method. Compared to existing methods, the proposed framework constructs a dense 3D model via a sparse to dense mapping using learned surface norma…
3D ReconstructionDepth EstimationDepth PredictionMonocular Visual Odometry+2Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise
Recently a category of tracking methods based on "tracking-by-detection" is widely used in visual tracking problem. Most of these methods update the classifier online using the samples generated by the tracker to handle …
Visual TrackingHow Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint
Visual tracking is fragile in some difficult scenarios, for instance, appearance ambiguity and variation, occlusion can easily degrade most of visual trackers to some extent. In this paper, visual tracking is empowered w…
Visual TrackingTCDCaps: Visual Tracking via Cascaded Dense Capsules
The critical challenge in tracking-by-detection framework is how to avoid drift problem during online learning, where the robust features for a variety of appearance changes are difficult to be learned and a reasonable i…
Visual TrackingRobust Structured Group Local Sparse Tracker Using Deep Features
Sparse representation has recently been successfully applied in visual tracking. It utilizes a set of templates to represent target candidates and find the best one with the minimum reconstruction error as the tracking r…
Visual TrackingStructured Group Local Sparse Tracker
Sparse representation is considered as a viable solution to visual tracking. In this paper, we propose a structured group local sparse tracker (SGLST), which exploits local patches inside target candidates in the particl…
Visual TrackingSiamVGG: 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 TrackingEnd-to-end feature fusion siamese network for adaptive visual tracking
According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may change greatly from time to time in a lo…
Visual 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 TrackingSaliency Guided Hierarchical Robust Visual Tracking
A saliency guided hierarchical visual tracking (SHT) algorithm containing global and local search phases is proposed in this paper. In global search, a top-down saliency model is novelly developed to handle abrupt motion…
Visual TrackingShallow Cue Guided Deep Visual Tracking via Mixed Models
In this paper, a robust visual tracking approach via mixed model based convolutional neural networks (SDT) is developed. In order to handle abrupt or fast motion, a prior map is generated to facilitate the localization o…
Visual Tracking