【文件属性】：
文件名称：GMM-GAUS MİXTURE MODEL BACKGROUND SUBTRACT
文件大小：11.8MB
文件格式：RAR
更新时间：2017-11-23 17:32:48
GMM-GAUS MİXTURE MODEL
Abstract- This paper describes an interactive application that
employs a modular approach to solve the problem of detecting
abandoned and removed objects in a video stream in real time.
The system breaks down this difficult task into a series of simpler
sub-tasks and solves each through a separate module. Since
different modules are independent of each other, each may utilize
several different methods for solving the corresponding sub-
problem. Accordingly, several existing methods have been
implemented for each module with the possibility of adding new
methods with minimum system reprogramming. Additionally, by
switching between these methods in real time, the user can
observe and compare the performance and accuracy of different
methods and find the optimal combination of methods for a
particular scenario. Lastly, the user can also interact with the
system to provide useful feedback and help improve its
performance when it is not up to the mark. This enables the
system to take advantage of the far superior human vision
processing capabilities in very complex scenarios while still being
completely automated most of the time.
【文件预览】：
opencvhello
----opencvhello.sln(1KB)
----opencvhello.sdf(13.02MB)
----opencvhello.suo(18KB)
----opencvhello()
--------final_BG.cpp(5KB)
--------opencvhello.vcxproj.filters(1KB)
--------x64()
--------opencvhello.vcxproj(8KB)
--------main.cpp(5KB)
--------Static_region.cpp(3KB)
--------BG_abs.jpg(310KB)
--------opencvhello.vcxproj.user(143B)
--------README.md(1KB)
----x64()
--------Release()
----ipch()
--------opencvhello-fae7a490()