Background Subtraction Based on Color and Depth Using Active Sensors

Depth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fus...

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Bibliographic Details
Main Authors: Eduardo Ros, Javier Diaz, Enrique J. Fernandez-Sanchez
Format: Article
Language:English
Published: MDPI AG 2013-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/13/7/8895
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author Eduardo Ros
Javier Diaz
Enrique J. Fernandez-Sanchez
author_facet Eduardo Ros
Javier Diaz
Enrique J. Fernandez-Sanchez
author_sort Eduardo Ros
collection DOAJ
description Depth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fusing depth and color inputs, which are complementary and allow one to solve many classic color segmentation issues. In this paper, we describe one fusion method to combine color and depth based on an advanced color-based algorithm. This technique has been evaluated by means of a complete dataset recorded with Microsoft Kinect, which enables comparison with the original method. The proposed method outperforms the others in almost every test, showing more robustness to illumination changes, shadows, reflections and camouflage.
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spelling doaj.art-ab93cca156bd489f97ad02dfa927fb1a2022-12-22T03:09:27ZengMDPI AGSensors1424-82202013-07-011378895891510.3390/s130708895Background Subtraction Based on Color and Depth Using Active SensorsEduardo RosJavier DiazEnrique J. Fernandez-SanchezDepth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fusing depth and color inputs, which are complementary and allow one to solve many classic color segmentation issues. In this paper, we describe one fusion method to combine color and depth based on an advanced color-based algorithm. This technique has been evaluated by means of a complete dataset recorded with Microsoft Kinect, which enables comparison with the original method. The proposed method outperforms the others in almost every test, showing more robustness to illumination changes, shadows, reflections and camouflage.http://www.mdpi.com/1424-8220/13/7/8895background subtractionforegroundsegmentationdepthKinectactive sensorscomputer visionvideo surveillancesensor fusion
spellingShingle Eduardo Ros
Javier Diaz
Enrique J. Fernandez-Sanchez
Background Subtraction Based on Color and Depth Using Active Sensors
Sensors
background subtraction
foreground
segmentation
depth
Kinect
active sensors
computer vision
video surveillance
sensor fusion
title Background Subtraction Based on Color and Depth Using Active Sensors
title_full Background Subtraction Based on Color and Depth Using Active Sensors
title_fullStr Background Subtraction Based on Color and Depth Using Active Sensors
title_full_unstemmed Background Subtraction Based on Color and Depth Using Active Sensors
title_short Background Subtraction Based on Color and Depth Using Active Sensors
title_sort background subtraction based on color and depth using active sensors
topic background subtraction
foreground
segmentation
depth
Kinect
active sensors
computer vision
video surveillance
sensor fusion
url http://www.mdpi.com/1424-8220/13/7/8895
work_keys_str_mv AT eduardoros backgroundsubtractionbasedoncoloranddepthusingactivesensors
AT javierdiaz backgroundsubtractionbasedoncoloranddepthusingactivesensors
AT enriquejfernandezsanchez backgroundsubtractionbasedoncoloranddepthusingactivesensors