Stefano Tommesani

  • Increase font size
  • Default font size
  • Decrease font size
Home Programming Background subtraction: fuzzy based methods

Background subtraction: fuzzy based methods

Hits

Performance map

BenchmarkFuzzyIntegral

Fuzzy Sugeno Integral (with Adaptive-Selective Update) of Hongxun Zhang and De Xu (2006) paper link

 

Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel approach that uses fuzzy integral to fuse the texture and color features for background subtraction. The method could handle various small motions of background objects such as swaying tree branches and bushes. Our method requires less computational cost. The model adapts quickly to changes in the scene that enables very sensitive detection of moving targets. The results show that the proposed method is effective and efficient in real-time and accurate background maintenance in complex environment.

Fuzzy Choquet Integral (with Adaptive-Selective Update) of Baf et al (2008) paper link

Detection of moving objects is the first step in many applications using video sequences like video-surveillance, optical motion capture and multimedia application. The process mainly used is the background subtraction which one key step is the foreground detection. The goal is to classify pixels of the current image as foreground or background. Some critical situations as shadows, illumination variations can occur in the scene and generate a false classification of image pixels. To deal with the uncertainty in the classification issue, we propose to use the Choquet integral as aggregation operator. Experiments on different data sets in video surveillance have shown a robustness of the proposed method against some critical situations when fusing color and texture features. Different color spaces have been tested to improve the insensitivity of the detection to the illumination changes. Then, the algorithm has been compared with another fuzzy approach based on the Sugeno integral and has proved its robustness.

Fuzzy Gaussian of Sigari et al (2008) paper link


These algorithms are contained in the bgslibrary by Andrews Sobral, that includes over 30 background subtraction algorithms, a common C++ framework for comparing them, and an handy C++/MFC or Java app to see them running on video files or live feed from a webcam.

Return to the list of background subtraction algorithms

Quote this article on your site

To create link towards this article on your website,
copy and paste the text below in your page.




Preview :


Powered by QuoteThis © 2008
Last Updated on Monday, 23 September 2013 17:40  

Latest Articles

A software to stand out 27 January 2018, 14.35 Web
A software to stand out
Standing out of the pack starts by being visible, and being noticed by the right group of professionals. No matter how good your profile is, it is lost in a sea of similar profiles, so you need to show up and start attracting
Web page scraping, the easy way 07 January 2018, 00.46 Web
Web page scraping, the easy way
There are many ways to extract data elements from web pages, almost all of them prettier and cooler than the method proposed here, but as we are in an hurry, let's get that data quickly, ok? Suppose we have to extract the
Scraping dynamic page content 06 January 2018, 23.57 Web
Scraping dynamic page content
One of the most common roadblocks when scraping the content of web sites is getting the full contents of the page, including JS-generated data elements (probably, the ones you are looking for). So, when using CEFSharp to scrape
Unit-testing file I/O 26 November 2017, 12.09 Testing
Unit-testing file I/O
Two good news: file I/O is unit-testable, and it is surprisingly easy to do. Let's see how it works! A software no-one asked for First, we need a piece of software that deals with files and that has to be unit-tested. The
Fixing Git pull errors in SourceTree 10 April 2017, 01.44 Software
Fixing Git pull errors in SourceTree
If you encounter the following error when pulling a repository in SourceTree: VirtualAlloc pointer is null, Win32 error 487 it is due to to the Cygwin system failing to allocate a 5 MB large chunk of memory for its heap at
View Stefano Tommesani's profile on LinkedIn