apennisi / imbs-mt

Multi-thread Background Subtraction Method.

Independent Multimodal Background Subtraction multi-thread

Independent Multimodal Background Subtraction multi-thread (IMBS-MT) Library is a C++ library designed for performing an accurate foreground extraction in real-time. IMBS creates a multimodal model of the background in order to deal with illumination changes, camera jitter, movements of small background elements, and changes in the background geometry. A statistical analysis of the frames in input is performed to obtain the background model. Bootstrap is required in order to build the initial background model. IMBS exploits OpenCV functions.

The video below shows foreground extraction using IMBS-MT Parallel Multi-modal Background Subtraction on the [Town Centre Dataset] (http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html). Darker gray pixels are considered as shadow points.

Requirements

IMBS-MT requires the following packages to build:

• OpenCV (compatible with OpenCV 3.1)
• C++11

How to build

IMBS-MT works under Linux, Mac Os and Windows environments. Please use the following command sequence to build the library:

Linux & Mac Os

• mkdir build
• cd build
• cmake ../
• make -j

Windows

• Use the CMake graphical user interface to create the desired makefile CMake Homepage

How to use

IMBS-MT is provided with an usage example (main.cpp)

Linux

For video files:

$./imbs-mt -vid data/video.avi

For an image sequence (fps = 25 default value)

$./imbs-mt -img data/0.jpg

or you can specify the fps value

$./imbs-mt -img data/0.jpg -fps 7

Windows

For video files

>imbs-mt -vid data\video.avi

For an image sequence (fps = 25 default value)

>imbs-mt -img data\0.jpg

or you can specify the fps value

>imbs-mt -img data\0.jpg -fps 7

IMBS-MT webpage

You can find more information on IMBS-MT here.