Please use this identifier to cite or link to this item:
|Title:||Seeing through the fence: Image de-fencing using a video sequence|
Markov random field
|Source:||Khasare, V.S.,Sahay, R.R.,Kankanhalli, M.S. (2013). Seeing through the fence: Image de-fencing using a video sequence. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings : 1351-1355. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2013.6738278|
|Abstract:||Tourists and amateur photographers are often hindered in capturing their cherished images/videos by a fence/occlusion that limits accessibility to the scene of interest. The situation has been exacerbated by growing concerns of security at public places and a need exists to provide a tool that can be used for post-processing such 'fenced videos' to produce a 'de-fenced' image. There are several challenges in this problem and in this work, we identify them as 1. Robust detection of the fence/occlusions. 2. Estimating pixel motion of background scene. 3. Filling in the fence/occlusions by utilizing information in multiple frames of the input video. We use a video captured by a camera panning the scene containing a fence and obtain a 'de-fenced' image. Our method can effectively remove fences from images as demonstrated for several synthetic and real-world cases. © 2013 IEEE.|
|Source Title:||2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 8, 2018
checked on Mar 10, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.