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 71–80 of 212 papers

Title	Date	Tasks	Status
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery	May 3, 2021	Motion SegmentationPhysical Intuition	—Unverified
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach	Jun 27, 2024	Depth EstimationMonocular Depth Estimation	—Unverified
High-Rank Matrix Completion and Clustering under Self-Expressive Models	Dec 1, 2016	ClusteringLow-Rank Matrix Completion	—Unverified
Dense Monocular Depth Estimation in Complex Dynamic Scenes	Jun 1, 2016	Depth EstimationMonocular Depth Estimation	—Unverified
Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation	Apr 6, 2017	Motion SegmentationSegmentation	—Unverified
Deep Learning for Robust Motion Segmentation with Non-Static Cameras	Feb 22, 2021	Deep LearningMotion Segmentation	—Unverified
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference	Sep 16, 2024	Autonomous DrivingKnowledge Distillation	—Unverified
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation	Jul 31, 2024	Motion Segmentation	—Unverified
Image Segmentation Using Subspace Representation and Sparse Decomposition	Apr 6, 2018	Image SegmentationMotion Segmentation	—Unverified
Greedy Subspace Clustering	Oct 31, 2014	ClusteringFace Clustering	—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