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

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Showing 151–160 of 212 papers

Title	Date	Tasks	Status
High-Rank Matrix Completion and Clustering under Self-Expressive Models	Dec 1, 2016	ClusteringLow-Rank Matrix Completion	—Unverified
A Detailed Rubric for Motion Segmentation	Oct 31, 2016	Motion SegmentationSegmentation	—Unverified
Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework	Oct 17, 2016	ClusteringMotion Segmentation	—Unverified
Clustering with Hypergraphs: The Case for Large Hyperedges	Oct 4, 2016	ClusteringFace Clustering	—Unverified
Unbiased Sparse Subspace Clustering By Selective Pursuit	Sep 16, 2016	ClusteringMotion Segmentation	—Unverified
Reconstructing Articulated Rigged Models from RGB-D Videos	Sep 6, 2016	ClusteringMotion Segmentation	—Unverified
Temporally Consistent Motion Segmentation from RGB-D Video	Aug 16, 2016	Motion SegmentationObject	—Unverified
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation	Aug 10, 2016	Motion SegmentationObject	—Unverified
Incremental Real-Time Multibody VSLAM with Trajectory Optimization Using Stereo Camera	Aug 2, 2016	Motion Segmentation	—Unverified
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects	Jul 21, 2016	Motion Segmentationobject-detection	—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