A texton-based kernel density estimation approach for background modeling under extreme conditions

Concetto Spampinato; Simone Palazzo; I. Kavasidis

doi:10.1016/j.cviu.2013.12.003

ScienceGate Book Chapters

JOURNAL ARTICLE

A texton-based kernel density estimation approach for background modeling under extreme conditions

Concetto Spampinato Simone Palazzo I. Kavasidis

Year: 2014 Journal: Computer Vision and Image Understanding Vol: 122 Pages: 74-83 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2013.12.003

Get Full-Text PDF Get Analytical Report

Keywords:

Kernel density estimation Computer science Artificial intelligence Local binary patterns Pattern recognition (psychology) Kernel (algebra) Density estimation Machine learning Data mining Histogram Mathematics Image (mathematics) Statistics

Metrics

Cited By

4.58

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A texton-based kernel density estimation approach for background modeling under extreme conditions

Metrics

Citation History

Topics

Related Documents

Diversity sampling based kernel density estimation for background modeling

Robust Background Modeling with Kernel Density Estimation

Motion-based background subtraction using adaptive kernel density estimation

Background Modeling Method Based on Sequential Kernel Density Approximation

Sea Clutter Distribution Modeling: A Kernel Density Estimation Approach