Change search
ReferencesLink to record
Permanent link

Direct link
Motion Segmentation of RGB-D Videosvia Trajectory Clustering
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Segmentering av rorelse i RGB-D lmergenom gruppering av punktbanor (Swedish)
Abstract [en]

Motion segmentation of RGB-D videos can be a first step towards object reconstruction in dynamic scenes. The objective in this thesis is to end an ecient motion segmentation method that can deal with a moving camera. To this end, we adopt a feature-based approach where keypoints in the images are tracked over time. The variation in the observed pairwise 3-d distances is used to determine which of the points move similarly. We then employ spectral clusteringto group trajectories into clusters with similar motion, thereby obtaining a sparse segmentation of the dynamic objectsin the scene. The results on twenty scenes from real world datasets and simulations show that while the method needs more sophistication to segment all of them, several dynamic scenes have been successfully segmented at a processing speed of multiple frames per second.

Place, publisher, year, edition, pages
National Category
Computer Science
URN: urn:nbn:se:kth:diva-153943OAI: diva2:754319
Available from: 2014-11-21 Created: 2014-10-10 Last updated: 2014-11-21Bibliographically approved

Open Access in DiVA

fulltext(19458 kB)273 downloads
File information
File name FULLTEXT01.pdfFile size 19458 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 273 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 268 hits
ReferencesLink to record
Permanent link

Direct link