Papers Object Tracking
“Object Tracking” 태그가 달린 논문 2,087편 · 필터 해제
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach
In recent years, significant advancements have been made in deep learning-based object detection algorithms, revolutionizing basic computer vision tasks, notably in object detection, tracking, and segmentation. This pape…
Objectobject-detectionObject DetectionObject Tracking+1TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking
Multi-object tracking algorithms are deployed in various applications, each with unique performance requirements. For example, track switches pose significant challenges for offline scene understanding, as they hinder th…
Multi-Object TrackingObject TrackingScene UnderstandingPost-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking
Temporal forward-tracking has been the dominant approach for multi-object segmentation and tracking (MOTS). However, a novel time-symmetric tracking methodology has recently been introduced for the detection, segmentatio…
Multi-Object TrackingObject TrackingSemantic SegmentationBenchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments
Vision-based target tracking is crucial for unmanned surface vehicles (USVs) to perform tasks such as inspection, monitoring, and surveillance. However, real-time tracking in complex maritime environments is challenging …
Benchmarkingobject-detectionObject DetectionObject TrackingBalancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation
In this work, we present Multiformer, a novel approach to depth-aware video panoptic segmentation (DVPS) based on the mask transformer paradigm. Our method learns object representations that are shared across segmentatio…
DecoderDepth-aware Video Panoptic SegmentationDepth EstimationMonocular Depth Estimation+4Enhanced Multi-Object Tracking Using Pose-based Virtual Markers in 3x3 Basketball
Multi-object tracking (MOT) is crucial for various multi-agent analyses such as evaluating team sports tactics and player movements and performance. While pedestrian tracking has advanced with Tracking-by-Detection MOT, …
Active LearningMulti-Object TrackingObject TrackingStreet Gaussians without 3D Object Tracker
Realistic scene reconstruction in driving scenarios poses significant challenges due to fast-moving objects. Most existing methods rely on labor-intensive manual labeling of object poses to reconstruct dynamic objects in…
ObjectObject TrackingHOLa: HoloLens Object Labeling
In the context of medical Augmented Reality (AR) applications, object tracking is a key challenge and requires a significant amount of annotation masks. As segmentation foundation models like the Segment Anything Model (…
ObjectObject TrackingUnityZero Shot SegmentationBeyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection
The primary challenge in Video Object Detection (VOD) is effectively exploiting temporal information to enhance object representations. Traditional strategies, such as aggregating region proposals, often suffer from feat…
GPUMulti-Object TrackingObjectobject-detection+4Distillation of Diffusion Features for Semantic Correspondence
Semantic correspondence, the task of determining relationships between different parts of images, underpins various applications including 3D reconstruction, image-to-image translation, object tracking, and visual place …
3D ReconstructionData AugmentationImage-to-Image TranslationKnowledge Distillation+3GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
In this paper, we present a novel benchmark, GSOT3D, that aims at facilitating development of generic 3D single object tracking (SOT) in the wild. Specifically, GSOT3D offers 620 sequences with 123K frames, and covers a …
3D Object Tracking3D Single Object TrackingObjectObject TrackingMVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
3D single object tracking is essential in autonomous driving and robotics. Existing methods often struggle with sparse and incomplete point cloud scenarios. To address these limitations, we propose a Multimodal-guided Vi…
3D Single Object TrackingAutonomous DrivingObject TrackingObject Tracking in a $360^o$ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements
Object tracking is a fundamental tool in modern innovation, with applications in defense systems, autonomous vehicles, and biomedical research. It enables precise identification, monitoring, and spatiotemporal analysis o…
Autonomous VehiclesObjectObject Tracking6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
Efficient and accurate object pose estimation is an essential component for modern vision systems in many applications such as Augmented Reality, autonomous driving, and robotics. While research in model-based 6D object …
3D Object Reconstruction6D Pose Estimation using RGBAutonomous DrivingObject+4A2VIS: Amodal-Aware Approach to Video Instance Segmentation
Handling occlusion remains a significant challenge for video instance-level tasks like Multiple Object Tracking (MOT) and Video Instance Segmentation (VIS). In this paper, we propose a novel framework, Amodal-Aware Video…
Instance SegmentationMultiple Object TrackingObjectObject Tracking+3Referring Video Object Segmentation via Language-aligned Track Selection
Referring video object segmentation (RVOS) requires tracking and segmenting an object throughout a video according to a given natural language expression, demanding both complex motion understanding and the alignment of …
ObjectObject TrackingReferring Video Object SegmentationSemantic Segmentation+3Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks
Recent advances in video question answering (VideoQA) offer promising applications, especially in traffic monitoring, where efficient video interpretation is critical. Within ITS, answering complex, real-time queries lik…
Multi-Object TrackingObject TrackingQuestion AnsweringVideo Question AnsweringMCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos
Object perception from multi-view cameras is crucial for intelligent systems, particularly in indoor environments, e.g., warehouses, retail stores, and hospitals. Most traditional multi-target multi-camera (MTMC) detecti…
2D Object Detection3D Object DetectionCamera CalibrationMulti-Object Tracking+4Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark
Following the successful 2023 edition, we organised the Second Perception Test challenge as a half-day workshop alongside the IEEE/CVF European Conference on Computer Vision (ECCV) 2024, with the goal of benchmarking sta…
BenchmarkingGrounded Video Question AnsweringMultiple-choiceObject Tracking+5HOT3D: Hand and Object Tracking in 3D from Egocentric Multi-View Videos
We introduce HOT3D, a publicly available dataset for egocentric hand and object tracking in 3D. The dataset offers over 833 minutes (3.7M+ images) of recordings that feature 19 subjects interacting with 33 diverse rigid …
BenchmarkingObject TrackingPose Estimation