Skip to main navigation Skip to search Skip to main content

Pixel-wise histograms for visual segment description and applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this work we present an overview of several methods that extract information from a video segment using pixel-wise histograms or pixel-wise probability distributions. We will show that most of these algorithms that have been presented in the literature are specific implementations of a more general approach. Finally, we will present some applications based on these ideas to video segment retrieval and target detection in surveillance applications with static and dynamic backgrounds. We present a visual segment descriptor based on pixel-wise histograms that outperforms similar reviewed methods. In this way we show the advantages on this approach for this kind of problems.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis and Applications - 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Proceedings
PublisherSpringer Verlag
Pages873-882
Number of pages10
ISBN (Print)3540465561, 9783540465560
DOIs
StatePublished - 2006
Event11th Iberoamerican Congress in Pattern Recognition, CIARP 2006 - Cancun, Mexico
Duration: 14 Nov 200617 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4225 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Iberoamerican Congress in Pattern Recognition, CIARP 2006
Country/TerritoryMexico
CityCancun
Period14/11/0617/11/06

Fingerprint

Dive into the research topics of 'Pixel-wise histograms for visual segment description and applications'. Together they form a unique fingerprint.

Cite this