Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhao, Wei | |
dc.contributor.author | Roos, Nico | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-04-10T11:05:37Z | - |
dc.date.available | 2018-04-10T11:05:37Z | - |
dc.date.issued | 2016 | |
dc.identifier.citation | WSCG 2016: full papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 61-69. | en |
dc.identifier.isbn | 978-80-86943-57-2 | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.issn | 2464–4625 (CD-ROM) | |
dc.identifier.uri | wscg.zcu.cz/WSCG2016/!!_CSRN-2601.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29532 | |
dc.description.abstract | Motions are important features for robot vision as we live in a dynamic world. Detecting moving objects is crucial for mobile robots and computer vision systems. This paper investigates an architecture for the segmentation of moving objects from image sequences. Objects are represented as groups of SIFT feature points. Instead of tracking the feature points over a sequence of frames, the movements of feature points between two successive frames are used. The segmentation of motions of each pair of frames is based on the expectation-maximization algorithm. The segmentation algorithm is iteratively applied over all frames of the sequence and the results are combined using Bayesian update. | en |
dc.format | 9 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | WSCG 2016: full papers proceedings | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | segmentace pohybu | cs |
dc.subject | EM algoritmus | cs |
dc.subject | Bayesovská aktualizace | cs |
dc.subject | SIFT funkce | cs |
dc.subject | shlukování trajektorií | cs |
dc.title | An EM based approach for motion segmentation of video sequence | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | motion segmentation | en |
dc.subject.translated | EM algorithm | en |
dc.subject.translated | Bayesian update | en |
dc.subject.translated | SIFT feature | en |
dc.subject.translated | trajectory clustering | en |
dc.type.status | Peer-reviewed | en |
Appears in Collections: | WSCG 2016: Full Papers Proceedings |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29532
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