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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 171–180 of 212 papers

Title	Date	Tasks	Status
Robust Subspace Segmentation with Block-diagonal Prior	Jun 1, 2014	ClusteringFace Clustering	—Unverified
Robust Video Background Identification by Dominant Rigid Motion Estimation	Mar 6, 2019	Motion EstimationMotion Segmentation	—Unverified
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images	Mar 31, 2014	3D ReconstructionDistributed Optimization	—Unverified
RoMo: Robust Motion Segmentation Improves Structure from Motion	Nov 27, 2024	Camera CalibrationMotion Segmentation	—Unverified
Scalable Sparse Subspace Clustering	Jun 1, 2013	ClusteringImage Clustering	—Unverified
Scene Flow from Point Clouds with or without Learning	Oct 31, 2020	Motion SegmentationSelf-Supervised Learning	—Unverified
Segmentation-Free Dynamic Scene Deblurring	Jun 1, 2014	DeblurringMotion Segmentation	—Unverified
Segmentation Guided Deep HDR Deghosting	Jul 4, 2022	Motion SegmentationSegmentation	—Unverified
Self-Supervised Deep Subspace Clustering with Entropy-norm	Jun 10, 2022	ClusteringMotion Segmentation	—Unverified
Self-Supervised Relative Depth Learning for Urban Scene Understanding	Dec 13, 2017	Depth EstimationMonocular Depth Estimation	—Unverified

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All datasets ApolloScape Hopkins155 KT3DMoSeg MTPV62

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Rule Based	Accuracy	90	—	Unverified
2	Rel-Att-GCN	Accuracy	89	—	Unverified
3	MRGCN	Accuracy	86	—	Unverified
4	MRGCN-LSTM	Accuracy	72	—	Unverified
5	St-RNN	Accuracy	63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSC	Classification Error	2.18	—	Unverified
2	T-Linkage	Classification Error	1.97	—	Unverified
3	RSIM	Classification Error	1.01	—	Unverified
4	MVC	Classification Error	0.31	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MultiViewClustering	Error	7.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MVC	Classification Error	0.65	—	Unverified