Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps
In this paper, we propose a novel effective non-rigid object tracking framework based on the spatial-temporal consistent saliency detection. In contrast to most existing trackers that utilize a bounding box to specify th…
ObjectObject TrackingSaliency DetectionVisual TrackingSaliency-Enhanced Robust Visual Tracking
Discrete correlation filter (DCF) based trackers have shown considerable success in visual object tracking. These trackers often make use of low to mid level features such as histogram of gradients (HoG) and mid-layer ac…
object-detectionObject DetectionObject TrackingRGB Salient Object Detection+3Depth-Adaptive Computational Policies for Efficient Visual Tracking
Current convolutional neural networks algorithms for video object tracking spend the same amount of computation for each object and video frame. However, it is harder to track an object in some frames than others, due to…
ObjectObject TrackingVideo Object 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 TrackingLong-Term Visual Object Tracking Benchmark
We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration of over 400 minu…
ObjectObject TrackingVisual Object TrackingVisual TrackingParticle filter re-detection for visual tracking via correlation filters
Most of the correlation filter based tracking algorithms can achieve good performance and maintain fast computational speed. However, in some complicated tracking scenes, there is a fatal defect that causes the object to…
ObjectObject LocalizationVisual TrackingMAVOT: Memory-Augmented Video Object Tracking
We introduce a one-shot learning approach for video object tracking. The proposed algorithm requires seeing the object to be tracked only once, and employs an external memory to store and remember the evolving features o…
ObjectObject TrackingOne-Shot LearningVideo Object Tracking+1UCT: 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 TrackingDeep Convolutional Neural Networks for Thermal Infrared Object Tracking
Unlike the visual object tracking, thermal infrared object tracking can track a target object in total darkness. Therefore, it has broad applications, such as in rescue and video surveillance at night. However, there are…
ObjectObject TrackingThermal Infrared Object TrackingVisual Object Tracking+1Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
The aspect ratio variation frequently appears in visual tracking and has a severe influence on performance. Although many correlation filter (CF)-based trackers have also been suggested for scale adaptive tracking, few s…
Visual TrackingVisual Tracking via Dynamic Graph Learning
Existing visual tracking methods usually localize a target object with a bounding box, in which the performance of the foreground object trackers or detectors is often affected by the inclusion of background clutter. To …
Graph LearningObjectObject TrackingVisual TrackingRobust Object Tracking Based on Temporal and Spatial Deep Networks
Recently deep neural networks have been widely employed to deal with the visual tracking problem. In this work, we present a new deep architecture which incorporates the temporal and spatial information to boost the trac…
ObjectObject TrackingVisual TrackingUnderwater Multi-Robot Convoying using Visual Tracking by Detection
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments. Our method is based on the idea of tracking-by-det…
object-detectionObject DetectionVisual TrackingMulti-camera Multi-Object Tracking
In this paper, we propose a pipeline for multi-target visual tracking under multi-camera system. For multi-camera system tracking problem, efficient data association across cameras, and at the same time, across frames be…
Multi-Object TrackingObjectObject TrackingVisual TrackingA Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects
Tracking humans that are interacting with the other subjects or environment remains unsolved in visual tracking, because the visibility of the human of interests in videos is unknown and might vary over time. In particul…
Visual TrackingKernel Cross-Correlator
Cross-correlator plays a significant role in many visual perception tasks, such as object detection and tracking. Beyond the linear cross-correlator, this paper proposes a kernel cross-correlator (KCC) that breaks tradit…
Activity RecognitionHuman Activity Recognitionobject-detectionObject Detection+1Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision
We present a novel data set made up of omnidirectional video of multiple objects whose centroid positions are annotated automatically. Omnidirectional vision is an active field of research focused on the use of spherical…
object-detectionObject DetectionScene UnderstandingVisual TrackingRecurrent Filter Learning for Visual Tracking
Recently using convolutional neural networks (CNNs) has gained popularity in visual tracking, due to its robust feature representation of images. Recent methods perform online tracking by fine-tuning a pre-trained CNN mo…
ObjectVisual TrackingLearning Rotation for Kernel Correlation Filter
Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks. However it suffers from problems that affect its performance like occlusion, rotatio…
Visual TrackingPatch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking
Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online learning techniques. In challenging cond…
ObjectObject TrackingVisual Object TrackingVisual Tracking