Sciweavers

Share
MVA
2007

Action Recognition of Insects Using Spectral Clustering

11 years 11 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of video which discriminate between different classes of actions. We sample from these feature vectors and compute the eigenvalues and eigenvectors of affinity or similarity matrix. Then, we perform K-means algorithm to cluster component from each of dominant eigenvectors of the affinity matrix. These dominant eigenvectors are embedding coordinate of video segments in our embedding space. We experimented with our method on a noisy track of one insect to validate our approach.
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where MVA
Authors Maryam Moslemi Naeini, Greg Dutton, Kristina Rothley, Greg Mori
Comments (0)
books