Motion Segmentation
4개 벤치마크 · 논문 225편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Sparse Subspace Clustering: Algorithm, Theory, and Applications
EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm
Papers
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 Segmentation