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.
IMBS-MT requires the following packages to build:
- OpenCV (compatible with OpenCV 3.1)
- C++11
IMBS-MT works under Linux, Mac Os and Windows environments. Please use the following command sequence to build the library:
- mkdir build
- cd build
- cmake ../
- make
- Use the CMake graphical user interface to create the desired makefile CMake Homepage
IMBS-MT is provided with an usage example (main.cpp)
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
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
You can find more information on IMBS-MT here or in the paper
- D.D. Bloisi, A. Pennisi, L. Iocchi. "Parallel multi-modal background modeling" Pattern Recognition Letters, 2016. draft