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|Title:||Seeing through the fence: Image de-fencing using a video sequence|
Markov random field
|Citation:||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|
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