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.
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.
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|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 05:44|
|Last Modified:||29 Feb 2012 14:18|
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