Accurate silhouette segmentation using motion detection and graph cuts
Chen, Daniel C.Y., Denman, Simon, & Fookes, Clinton B. (2010) Accurate silhouette segmentation using motion detection and graph cuts. In Proceedings of 10th International Conference on Information Science, Signal Processing and their Applications, Renaissance Hotel, Kuala Lumpur. (In Press)
Abstract
Acquiring accurate silhouettes has many applications in computer vision. This is usually done through motion detection, or a simple background subtraction under highly controlled environments (i.e. chroma-key backgrounds). Lighting and contrast issues in typical outdoor or office environments make accurate segmentation very difficult in these scenes. In this paper, gradients are used in conjunction with intensity and colour to provide a robust segmentation of motion, after which graph cuts are utilised to refine the segmentation. The results presented using the ETISEO database demonstrate that an improved segmentation is achieved through the combined use of motion detection and graph cuts, particularly in complex scenes.
Citations:
Citation countsare sourced monthly from Scopus and Web of Science citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 31435 |
|---|---|
| Item Type: | Conference Paper |
| Keywords: | motion detection, graph cuts |
| Subjects: | Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104) Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106) |
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Institutes > Information Security Institute Past > Schools > School of Engineering Systems |
| Copyright Owner: | Copyright 2010 [please consult the authors] |
| Deposited On: | 22 Mar 2010 15:44 |
| Last Modified: | 01 Mar 2012 00:18 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page