Papers Motion Segmentation
“Motion Segmentation” 태그가 달린 논문 225편 · 필터 해제
Jointly Learning Structured Representations and Stabilized Affinity for Human Motion Segmentation
Human Motion Segmentation (HMS), which aims to partition a video into non-overlapping segments corresponding to different human motions, has recently attracted increasing research attention. Existing HMS approaches are p…
Motion SegmentationRobust Fundamental Matrix Estimation from Single Image Motion Blur
In this paper, we introduce a challenging task: extracting a fundamental matrix from a single motion blurred image. For a camera moving in 3D during exposure, the smear paths in the blurry image contain cues and constrai…
Motion SegmentationEvent-based Liveness Detection using Temporal Ocular Dynamics: An Exploratory Approach
Face liveness detection has been extensively studied using RGB cameras, achieving strong performance under controlled conditions but often failing to generalize across sensors and attack scenarios. In this work, we explo…
Motion SegmentationRobust Dynamic Object Detection in Cluttered Indoor Scenes via Learned Spatiotemporal Cues
Reliable dynamic object detection in cluttered environments remains a critical challenge for autonomous navigation. Purely geometric LiDAR pipelines that rely on clustering and heuristic filtering can miss dynamic obstac…
Motion SegmentationObject DetectionUncertainty-Aware Concept and Motion Segmentation for Semi-Supervised Angiography Videos
Segmentation of the main coronary artery from X-ray coronary angiography (XCA) sequences is crucial for the diagnosis of coronary artery diseases. However, this task is challenging due to issues such as blurred boundarie…
Motion SegmentationGeoMotion: Rethinking Motion Segmentation via Latent 4D Geometry
Motion segmentation in dynamic scenes is highly challenging, as conventional methods heavily rely on estimating camera poses and point correspondences from inherently noisy motion cues. Existing statistical inference or …
Motion SegmentationReal-time Motion Segmentation with Event-based Normal Flow
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to handle visual tasks in challenging scenari…
Motion SegmentationScene UnderstandingEvent-based visionTemporal Visual Semantics-Induced Human Motion Understanding with Large Language Models
Unsupervised human motion segmentation (HMS) can be effectively achieved using subspace clustering techniques. However, traditional methods overlook the role of temporal semantic exploration in HMS. This paper explores t…
Motion SegmentationThe Dynamic Prior: Understanding 3D Structures for Casual Dynamic Videos
Estimating accurate camera poses, 3D scene geometry, and object motion from in-the-wild videos is a long-standing challenge for classical structure from motion pipelines due to the presence of dynamic objects. Recent lea…
Motion SegmentationMotion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
Unsupervised multi-object discovery (MOD) aims to detect and localize distinct object instances in visual scenes without any form of human supervision. Recent approaches leverage object-centric learning (OCL) and motion …
Multi-object discoveryMotion SegmentationPMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos
Geometric distortions and blurring caused by atmospheric turbulence degrade the quality of long-range dynamic scene videos. Existing methods struggle with restoring edge details and eliminating mixed distortions, especia…
Motion SegmentationVideo RestorationCoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry
Visual Odometry (VO) is fundamental to autonomous navigation, robotics, and augmented reality, with unsupervised approaches eliminating the need for expensive ground-truth labels. However, these methods struggle when dyn…
Motion SegmentationVisual OdometryMotion Segmentation and Egomotion Estimation from Event-Based Normal Flow
This paper introduces a robust framework for motion segmentation and egomotion estimation using event-based normal flow, tailored specifically for neuromorphic vision sensors. In contrast to traditional methods that rely…
Motion SegmentationDepth EstimationChannel-wise Motion Features for Efficient Motion Segmentation
For safety-critical robotics applications such as autonomous driving, it is important to detect all required objects accurately in real-time. Motion segmentation offers a solution by identifying dynamic objects from the …
Autonomous DrivingMotion SegmentationOptical Flow EstimationTemporal Rate Reduction Clustering for Human Motion Segmentation
Human Motion Segmentation (HMS), which aims to partition videos into non-overlapping human motions, has attracted increasing research attention recently. Existing approaches for HMS are mainly dominated by subspace clust…
ClusteringMotion SegmentationKDMOS:Knowledge Distillation for Motion Segmentation
Motion Object Segmentation (MOS) is crucial for autonomous driving, as it enhances localization, path planning, map construction, scene flow estimation, and future state prediction. While existing methods achieve strong …
Autonomous DrivingKnowledge DistillationMotion SegmentationScene Flow Estimation+1FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
In this paper, we aim to model 3D scene geometry, appearance, and the underlying physics purely from multi-view videos. By applying various governing PDEs as PINN losses or incorporating physics simulation into neural ne…
Motion SegmentationEV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras
Event cameras are novel bio-inspired sensors that capture motion dynamics with much higher temporal resolution than traditional cameras, since pixels react asynchronously to brightness changes. They are therefore better …
DeblurringMotion SegmentationOptical Flow EstimationSegmentation+1Event-based Egocentric Human Pose Estimation in Dynamic Environment
Estimating human pose using a front-facing egocentric camera is essential for applications such as sports motion analysis, VR/AR, and AI for wearable devices. However, many existing methods rely on RGB cameras and do not…
Head Pose EstimationMotion SegmentationPose EstimationIterative Event-based Motion Segmentation by Variational Contrast Maximization
Event cameras provide rich signals that are suitable for motion estimation since they respond to changes in the scene. As any visual changes in the scene produce event data, it is paramount to classify the data into diff…
Motion EstimationMotion SegmentationMoving Object Detectionobject-detection+2