Title :
Seeing through the fence: Image de-fencing using a video sequence
Author :
Khasare, Vrushali S. ; Sahay, Rajiv R. ; Kankanhalli, Mohan S.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
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.
Keywords :
cameras; image sequences; motion estimation; background scene; camera panning; fence-occlusion; fenced videos; image de-fencing; multiple frames; pixel motion estimation; post-processing; public place security; robust detection; video sequence; Belief propagation; Cameras; Computer vision; Educational institutions; Face; Optical imaging; Robustness; Image de-fencing; Markov random field; belief propagation; inpainting;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738278