Non-parametric background segmentation with feedback and dynamic controllers

Philipp Tiefenbacher, Martin Hofmann, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

The number of video cameras in our environment is increasing. On the one hand the cameras are used in automated surveillance scenarios to protect the people against the threat of potential trespassers or to solve already committed crimes faster. On the other hand, video cameras are used more often as input devices for communication with intelligent machines. Whether for communication with machines, enhanced control of devices by gestures or for consumer electronics in the form of an innovative control of games, it is beneficial or even necessary to split up the images to areas of movement and to static regions. Thus in most cases, the obtained images are processed with the objective to detect movement in the images.

Original languageEnglish
Title of host publicationBackground Modeling and Foreground Detection for Video Surveillance
PublisherCRC Press
Pages6-1-6-25
ISBN (Electronic)9781482205381
ISBN (Print)9781482205374
DOIs
StatePublished - 1 Jan 2014

Fingerprint

Dive into the research topics of 'Non-parametric background segmentation with feedback and dynamic controllers'. Together they form a unique fingerprint.

Cite this