Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Learning Target-oriented Dual Attention for Robust RGB-T Tracking
RGB-Thermal object tracking attempt to locate target object using complementary visual and thermal infrared data. Existing RGB-T trackers fuse different modalities by robust feature representation learning or adaptive mo…
ObjectObject TrackingRepresentation LearningRgb-T Tracking+1Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning
We propose a novel online multi-target visual tracker based on the recently developed Hypothesized and Independent Stochastic Population (HISP) filter. The HISP filter combines advantages of traditional tracking approach…
Large-Scale Person Re-IdentificationMultiple Object TrackingObject TrackingPerson Re-Identification+1Boundary 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 TrackingLearning Compact Target-Oriented Feature Representations for Visual Tracking
Many state-of-the-art trackers usually resort to the pretrained convolutional neural network (CNN) model for correlation filtering, in which deep features could usually be redundant, noisy and less discriminative for som…
Visual TrackingLearning the Model Update for Siamese Trackers
Siamese approaches address the visual tracking problem by extracting an appearance template from the current frame, which is used to localize the target in the next frame. In general, this template is linearly combined w…
modelVisual TrackingDAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking
Psychological studies have found that human visual tracking system involves learning, memory, and planning. Despite recent successes, not many works have focused on memory and planning in deep learning based tracking. We…
Object TrackingVideo Object TrackingVisual TrackingReal 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 TrackingDistilled Siamese Networks for Visual Tracking
In recent years, Siamese network based trackers have significantly advanced the state-of-the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high memory costs, which restrict their …
Knowledge DistillationObject TrackingVisual TrackingReal-Time Correlation Tracking via Joint Model Compression and Transfer
Correlation filters (CF) have received considerable attention in visual tracking because of their computational efficiency. Leveraging deep features via off-the-shelf CNN models (e.g., VGG), CF trackers achieve state-of-…
Computational EfficiencyCPUimage-classificationImage Classification+4Tracking 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+1Multi-Adapter RGBT Tracking
The task of RGBT tracking aims to take the complementary advantages from visible spectrum and thermal infrared data to achieve robust visual tracking, and receives more and more attention in recent years. Existing works …
Visual TrackingVisual Tracking via Dynamic Memory Networks
Template-matching methods for visual tracking have gained popularity recently due to their good performance and fast speed. However, they lack effective ways to adapt to changes in the target object's appearance, making …
Template MatchingVisual TrackingLearning Feature Embeddings for Discriminant Model based Tracking
After observing that the features used in most online discriminatively trained trackers are not optimal, in this paper, we propose a novel and effective architecture to learn optimal feature embeddings for online discrim…
Visual TrackingHallucinated Adversarial Learning for Robust Visual Tracking
Humans can easily learn new concepts from just a single exemplar, mainly due to their remarkable ability to imagine or hallucinate what the unseen exemplar may look like in different settings. Incorporating such an abili…
Visual TrackingGraph Convolutional Tracking
Tracking by siamese networks has achieved favorable performance in recent years. However, most of existing siamese methods do not take full advantage of spatial-temporal target appearance modeling under different context…
Visual TrackingVisual Tracking via Adaptive Spatially-Regularized Correlation Filters
In this work, we propose a novel adaptive spatially-regularized correlation filters (ASRCF) model to simultaneously optimize the filter coefficients and the spatial regularization weight. First, this adaptive spatial reg…
Visual TrackingmID: Tracking and Identifying People with Millimeter Wave Radar
The key to offering personalised services in smart spaces is knowing where a particular person is with a high degree of accuracy. Visual tracking is one such solution, but concerns arise around the potential leakage of r…
RF-based Visual TrackingVisual TrackingLearning Robotic Manipulation through Visual Planning and Acting
Planning for robotic manipulation requires reasoning about the changes a robot can affect on objects. When such interactions can be modelled analytically, as in domains with rigid objects, efficient planning algorithms e…
Visual TrackingLearning Cascaded Siamese Networks for High Performance Visual Tracking
Visual tracking is one of the most challenging computer vision problems. In order to achieve high performance visual tracking in various negative scenarios, a novel cascaded Siamese network is proposed and developed base…
ClassificationGeneral ClassificationVisual TrackingVocal Bursts Intensity PredictionBIT: Biologically Inspired Tracker
Visual tracking is challenging due to image variations caused by various factors, such as object deformation, scale change, illumination change and occlusion. Given the superior tracking performance of human visual syste…
Visual Tracking