Home security cameras have become increasingly popular in recent years, with many homeowners opting to install cameras to keep their homes and families safe. One of the benefits of these cameras is that they can capture footage of potential intruders or other suspicious activity around the home. In this blog…

The ViBe algorithm In the paper “ViBe: A universal background subtraction algorithm for video sequences“, Olivier Barnich and Marc Van Droogenbroeck introduce several innovative mechanisms for motion detection: Pixel model and classification process Let’s denote by v(x) the value in a given Euclidean color space taken by the pixel located…

Performance map Adaptive SOM of Maddalena and Petrosino (2008) paper link {youtube}o7VdgyoxPgA{/youtube}  Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting…

Performance map Eigenbackground / SL-PCA of Oliver et al (2000) paper link {youtube}4c1lLY3ta08{/youtube} We describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual surveillance task [1]. The system is particularly concerned with detecting when interactions between people occur and classifying the…

Performance map Pixel-Based Adaptive Segmenter (PBAS) of Hofmann et al (2012) paper link {youtube}DjCLUQg4dow{/youtube}  In this paper we present a novel method for foreground segmentation. Our proposed approach follows a non-parametric background modeling paradigm, thus the background is modeled by a history of recently observed pixel values. The foreground decision…

Performance map Texture BGS of Heikkila et al. (2006) paper link {youtube}7Ie05V-bBhQ{/youtube}  This paper presents a novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence. Each pixel is modeled as a group of adaptive local binary pattern histograms that are calculated over…

Performance map Type-2 Fuzzy GMM-UM of Baf et al (2008) paper link {youtube}mbvK3NFWlTA{/youtube}  Background modeling is a key step of background subtraction methods used in the context of static camera. The goal is to obtain a clean background and then detect moving objects by comparing it with the current frame.…

Performance map Gaussian Mixture Model of Stauffer and Grimson (1999) paper link {youtube}rCTqOYFSEmA{/youtube}  A common method for real-time segmentation of moving regions in image sequences involves

Performance map Gaussian Average of Wren (1997) paper link {youtube}2EXjQHKnAMo{/youtube}  Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10Hz on a standard SGI Indy computer, and has performed reliably on thousands of people in many different physical locations. The system uses a multiclass…

Performance map Fuzzy Sugeno Integral (with Adaptive-Selective Update) of Hongxun Zhang and De Xu (2006) paper link {youtube}YdlKJaukv_U{/youtube}  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…