Papers Visual Tracking
“Visual Tracking” 태그가 달린 논문 581편 · 필터 해제
CiteTracker: Correlating Image and Text for Visual Tracking
Existing visual tracking methods typically take an image patch as the reference of the target to perform tracking. However, a single image patch cannot provide a complete and precise concept of the target object as image…
AttributeDescriptiveText GenerationVisual TrackingTowards Real-World Visual Tracking with Temporal Contexts
Visual tracking has made significant improvements in the past few decades. Most existing state-of-the-art trackers 1) merely aim for performance in ideal conditions while overlooking the real-world conditions; 2) adopt t…
Visual TrackingHHTrack: Hyperspectral Object Tracking Using Hybrid Attention
Hyperspectral imagery provides abundant spectral information beyond the visible RGB bands, offering rich discriminative details about objects in a scene. Leveraging such data has the potential to enhance visual tracking …
ObjectObject TrackingRepresentation LearningVisual TrackingExploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
Transformer-based visual trackers have demonstrated significant progress owing to their superior modeling capabilities. However, existing trackers are hampered by low speed, limiting their applicability on devices with l…
PositionVisual TrackingRobust Object Modeling for Visual Tracking
Object modeling has become a core part of recent tracking frameworks. Current popular tackers use Transformer attention to extract the template feature separately or interactively with the search region. However, separat…
ObjectVisual TrackingLow-complexity Multidimensional DCT Approximations
In this paper, we introduce low-complexity multidimensional discrete cosine transform (DCT) approximations. Three dimensional DCT (3D DCT) approximations are formalized in terms of high-order tensor theory. The formulati…
QuantizationVisual TrackingTAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
We present a novel model for Tracking Any Point (TAP) that effectively tracks any queried point on any physical surface throughout a video sequence. Our approach employs two stages: (1) a matching stage, which independen…
GPUMotion EstimationPoint TrackingVisual TrackingCross-Drone Transformer Network for Robust Single Object Tracking
Drones have been widely used in a variety of applications, e.g., aerial photography and military security, because of their high maneuverability and broad views compared with fixed cameras. Multi-drone tracking systems c…
ObjectObject TrackingVisual Object TrackingVisual TrackingEstimation of control area in badminton doubles with pose information from top and back view drone videos
The application of visual tracking to the performance analysis of sports players in dynamic competitions is vital for effective coaching. In doubles matches, coordinated positioning is crucial for maintaining control of …
Visual TrackingTracking through Containers and Occluders in the Wild
Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems. In this paper, we introduce $\textbf{TCOW}$, a new benchmark and model for visual trackin…
Visual TrackingUnified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
In this paper, we introduce a new sequence-to-sequence learning framework for RGB-based and multi-modal object tracking. First, we present SeqTrack for RGB-based tracking. It casts visual tracking as a sequence generatio…
DecoderObjectObject TrackingRgb-T Tracking+2ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
Compared with traditional RGB-only visual tracking, few datasets have been constructed for RGB-D tracking. In this paper, we propose ARKitTrack, a new RGB-D tracking dataset for both static and dynamic scenes captured by…
3D geometryVisual TrackingSiamTHN: Siamese Target Highlight Network for Visual Tracking
Siamese network based trackers develop rapidly in the field of visual object tracking in recent years. The majority of siamese network based trackers now in use treat each channel in the feature maps generated by the bac…
Object TrackingregressionVisual Object TrackingVisual TrackingJoint Visual Grounding and Tracking with Natural Language Specification
Tracking by natural language specification aims to locate the referred target in a sequence based on the natural language description. Existing algorithms solve this issue in two steps, visual grounding and tracking, and…
Visual GroundingVisual TrackingTracker Meets Night: A Transformer Enhancer for UAV Tracking
Most previous progress in object tracking is realized in daytime scenes with favorable illumination. State-of-the-arts can hardly carry on their superiority at night so far, thereby considerably blocking the broadening o…
BlockingObject TrackingVisual TrackingUniversal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified by some queries such as category names, language expressions, and target annotations, but this complete field has been split into multiple independen…
Described Object DetectionGeneralized Referring Expression ComprehensionInstance SegmentationMulti-Object Tracking and Segmentation+16Target-Aware Tracking with Long-term Context Attention
Most deep trackers still follow the guidance of the siamese paradigms and use a template that contains only the target without any contextual information, which makes it difficult for the tracker to cope with large appea…
Object TrackingVideo Object TrackingVisual Object TrackingVisual TrackingSemi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles
In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and re…
GPUVisual TrackingAutoregressive Visual Tracking
We present ARTrack, an autoregressive framework for visual object tracking. ARTrack tackles tracking as a coordinate sequence interpretation task that estimates object trajectories progressively, where the current es…
ObjectObject TrackingTemplate MatchingVideo Object Tracking+2Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
Stochastic filtering is widely used to deal with nonlinear optimization problems such as 3-D and visual tracking in various computer vision and augmented reality applications. Many current methods suffer from an imba…
Visual Tracking