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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Format: | Article |
Language: | English |
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MDPI AG
2013-07-01
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Series: | Sensors |
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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. |
first_indexed | 2024-04-13T01:02:22Z |
format | Article |
id | doaj.art-ab93cca156bd489f97ad02dfa927fb1a |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T01:02:22Z |
publishDate | 2013-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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 |