Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks
In this paper, we present a novel distributed expectation propagation algorithm for multiple sensors, multiple objects tracking in cluttered environments. The proposed framework enables each sensor to operate locally whi…
Multi-Object TrackingObject TrackingFusionTrack: End-to-End Multi-Object Tracking in Arbitrary Multi-View Environment
Multi-view multi-object tracking (MVMOT) has found widespread applications in intelligent transportation, surveillance systems, and urban management. However, existing studies rarely address genuinely free-viewpoint MVMO…
ManagementMulti-Object TrackingObjectObject TrackingEOTNet: Deep Memory Aided Bayesian Filter for Extended Object Tracking
Extended object tracking methods based on random matrices, founded on Bayesian filters, have been able to achieve efficient recursive processes while jointly estimating the kinematic states and extension of the targets. …
ObjectObject TrackingAdapting SAM 2 for Visual Object Tracking: 1st Place Solution for MMVPR Challenge Multi-Modal Tracking
We present an effective approach for adapting the Segment Anything Model 2 (SAM2) to the Visual Object Tracking (VOT) task. Our method leverages the powerful pre-trained capabilities of SAM2 and incorporates several key …
ObjectObject TrackingVisual Object TrackingViQAgent: Zero-Shot Video Question Answering via Agent with Open-Vocabulary Grounding Validation
Recent advancements in Video Question Answering (VideoQA) have introduced LLM-based agents, modular frameworks, and procedural solutions, yielding promising results. These systems use dynamic agents and memory-based mech…
Decision MakingLanguage ModelingLanguage ModellingObject Tracking+3Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
Perceiving pedestrians in highly crowded urban environments is a difficult long-tail problem for learning-based autonomous perception. Speeding up 3D ground truth generation for such challenging scenes is performance-cri…
3D Pedestrian TrackingMultiple Object TrackingObject TrackingTowards Low-Latency Event Stream-based Visual Object Tracking: A Slow-Fast Approach
Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. However, such frame-based methods inherent…
Knowledge DistillationObject TrackingVisual Object TrackingLiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking
Multi-object tracking from LiDAR point clouds presents unique challenges due to the sparse and irregular nature of the data, compounded by the need for temporal coherence across frames. Traditional tracking systems often…
Multi-Object TrackingMultiple Object TrackingObjectObject TrackingDiff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking
Multi-modal object tracking integrates auxiliary modalities such as depth, thermal infrared, event flow, and language to provide additional information beyond RGB images, showing great potential in improving tracking sta…
Image GenerationObject TrackingText to Image GenerationText-to-Image GenerationNon-planar Object Detection and Identification by Features Matching and Triangulation Growth
Object detection and identification is surely a fundamental topic in the computer vision field; it plays a crucial role in many applications such as object tracking, industrial robots control, image retrieval, etc. We pr…
Image RetrievalIndustrial Robotsobject-detectionObject Detection+1DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking
State estimation is challenging for 3D object tracking with high maneuverability, as the target's state transition function changes rapidly, irregularly, and is unknown to the estimator. Existing work based on interactin…
3D Object TrackingObject TrackingState EstimationGTR: Gaussian Splatting Tracking and Reconstruction of Unknown Objects Based on Appearance and Geometric Complexity
We present a novel method for 6-DoF object tracking and high-quality 3D reconstruction from monocular RGBD video. Existing methods, while achieving impressive results, often struggle with complex objects, particularly th…
3D ReconstructionObjectObject TrackingUsing Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking
Head detection and tracking are essential for downstream tasks, but current methods often require large computational budgets, which increase latencies and ties up resources (e.g., processors, memory, and bandwidth). To …
Head DetectionMultiple Object TrackingObject TrackingSAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction
Background subtraction (BGS) is utilized to detect moving objects in a video and is commonly employed at the onset of object tracking and human recognition processes. Nevertheless, existing BGS techniques utilizing deep …
Object TrackingTowards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking
This work addresses the critical lack of precision in state estimation in the Kalman filter for 3D multi-object tracking (MOT) and the ongoing challenge of selecting the appropriate motion model. Existing literature comm…
3D Multi-Object TrackingMulti-Object TrackingMultiple Object TrackingNavigate+5Asynchronous Multi-Object Tracking with an Event Camera
Events cameras are ideal sensors for enabling robots to detect and track objects in highly dynamic environments due to their low latency output, high temporal resolution, and high dynamic range. In this paper, we present…
Multi-Object TrackingObjectObject TrackingOptical Flow EstimationCGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking
Recent advancements in visual object tracking have markedly improved the capabilities of unmanned aerial vehicle (UAV) tracking, which is a critical component in real-world robotics applications. While the integration of…
Object TrackingVisual Object TrackingA Simple Detector with Frame Dynamics is a Strong Tracker
Infrared object tracking plays a crucial role in Anti-Unmanned Aerial Vehicle (Anti-UAV) applications. Existing trackers often depend on cropped template regions and have limited motion modeling capabilities, which pose …
Objectobject-detectionObject DetectionObject Tracking+1SMMT: Siamese Motion Mamba with Self-attention for Thermal Infrared Target Tracking
Thermal infrared (TIR) object tracking often suffers from challenges such as target occlusion, motion blur, and background clutter, which significantly degrade the performance of trackers. To address these issues, this p…
MambaObject TrackingInteractive Instance Annotation with Siamese Networks
Annotating instance masks is time-consuming and labor-intensive. A promising solution is to predict contours using a deep learning model and then allow users to refine them. However, most existing methods focus on in-dom…
Object TrackingOne-Shot Learning