Contests
Contest on Scene Background Modeling Contest (SBMC2016) in conjunction with ICPR 2016
In scene analysis, the availability of an initial background model that describes the scene without foreground objects is the prerequisite, or at least can be of help, for many applications, including video surveillance, video segmentation, video compression,videoinpainting (or video completion), privacy protection for videos, and computational photography. Few methods for scene background modeling have specifically addressed initialization, also referred to as bootstrapping, background estimation, background reconstruction, initial background extraction, or background generation. However, many challenges still remain unsolved, including handling sudden illumination changes, night videos, low framerate, and videos taken by PTZ cameras. Thus, model learning is highly required.
The aim of the SBMC2016 contest is to advance the development of algorithms and methods for scene background modeling through objective evaluation on a common dataset.