SOTAVerified

Motion Segmentation

Motion Segmentation is an essential task in many applications in Computer Vision and Robotics, such as surveillance, action recognition and scene understanding. The classic way to state the problem is the following: given a set of feature points that are tracked through a sequence of images, the goal is to cluster those trajectories according to the different motions they belong to. It is assumed that the scene contains multiple objects that are moving rigidly and independently in 3D-space.

Source: Robust Motion Segmentation from Pairwise Matches

Papers

Showing 8190 of 212 papers

TitleStatusHype
Incremental Real-Time Multibody VSLAM with Trajectory Optimization Using Stereo Camera0
Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-task Baseline0
Deep Learning for Robust Motion Segmentation with Non-Static Cameras0
Is an Affine Constraint Needed for Affine Subspace Clustering?0
It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos0
Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition0
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation0
Joint Motion Segmentation and Background Estimation in Dynamic Scenes0
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects0
Greedy Subspace Clustering0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Rule BasedAccuracy90Unverified
2Rel-Att-GCNAccuracy89Unverified
3MRGCNAccuracy86Unverified
4MRGCN-LSTMAccuracy72Unverified
5St-RNNAccuracy63Unverified
#ModelMetricClaimedVerifiedStatus
1SSCClassification Error2.18Unverified
2T-LinkageClassification Error1.97Unverified
3RSIMClassification Error1.01Unverified
4MVCClassification Error0.31Unverified
#ModelMetricClaimedVerifiedStatus
1MultiViewClusteringError7.92Unverified
#ModelMetricClaimedVerifiedStatus
1MVCClassification Error0.65Unverified