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 111120 of 212 papers

TitleStatusHype
Consistency and Diversity induced Human Motion Segmentation0
Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering0
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering0
Context-Aware Modeling and Recognition of Activities in Video0
Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment0
Convex Relaxation of Mixture Regression with Efficient Algorithms0
CUR Decompositions, Similarity Matrices, and Subspace Clustering0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild0
Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking0
Deep Learning for Robust Motion Segmentation with Non-Static Cameras0
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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