Title: | Using trajectories derived by dense optical flows as a spatial component in background subtraction |
Authors: | Radolko, Martin Farhadifard, Fahimeh |
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. 1-7. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2601.pdf http://hdl.handle.net/11025/29525 |
ISBN: | 978-80-86943-57-2 |
ISSN: | 2464–4617 (print) 2464–4625 (CD-ROM) |
Keywords: | segregace pozadí na pozadí;pozadí odčítání;husté optické toky;segmentace videa |
Keywords in different language: | foreground background segregation;background subtraction;dense optical flows;video segmentation |
Abstract: | Foreground-Background Segregation has been intensively researched in the last decades as it is an important first step in many Computer Vision tasks. Nonetheless, there are still many open questions in this area and in this paper we focus on a special surveillance scenario where a static camera monitors a predefined region. This restrain makes some aspects easier and good results could be achieved with Background Subtraction methods. However, these only work pixelwise and lack the spatial component completely. We suggest an approach to add the crucial spatial information to the segmentations with Dense Optical Flows. For this, a number of successive images are taken from the video to compute the Trajectories of the pixels through these frames. This enables us to fuse the information from the several images and use this for segmentation. The algorithm was evaluated on a video from a surveillance camera and showed promising results. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2016: Full Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Radolko.pdf | Plný text | 8,29 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29525
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