Next Article in Journal
Ion-Specific Nutrient Management in Closed Systems: The Necessity for Ion-Selective Sensors in Terrestrial and Space-Based Agriculture and Water Management Systems
Previous Article in Journal
WikiSensing: An Online Collaborative Approach for Sensor Data Management
Sensors 2012, 12(10), 13333-13348; doi:10.3390/s121013333
Article

Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors

1,* , 1
 and 2
Received: 29 July 2012; in revised form: 7 September 2012 / Accepted: 17 September 2012 / Published: 1 October 2012
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [10003 KB, updated 21 June 2014; original version uploaded 21 June 2014]   |   Browse Figures
Abstract: In some automatic scene analysis applications, the presence of shadows becomes a nuisance that is necessary to deal with. As a consequence, a preliminary stage in many computer vision algorithms is to attenuate their effect. In this paper, we focus our attention on the detection of shadows cast by static objects outdoors, as the scene is viewed for extended periods of time (days, weeks) from a fixed camera and considering daylight intervals where the main source of light is the sun. In this context, we report two contributions. First, we introduce the use of synthetic images for which ground truth can be generated automatically, avoiding the tedious effort of manual annotation. Secondly, we report a novel application of the intrinsic image concept to the automatic detection of shadows cast by static objects in outdoors. We make both a quantitative and a qualitative evaluation of several algorithms based on this image representation. For the quantitative evaluation, we used the synthetic data set, while for the qualitative evaluation we used both data sets. Our experimental results show that the evaluated methods can partially solve the problem of shadow detection.
Keywords: video sequences; shadow detection; intrinsic images; illumination component video sequences; shadow detection; intrinsic images; illumination component
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Isaza, C.; Salas, J.; Raducanu, B. Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors. Sensors 2012, 12, 13333-13348.

AMA Style

Isaza C, Salas J, Raducanu B. Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors. Sensors. 2012; 12(10):13333-13348.

Chicago/Turabian Style

Isaza, Cesar; Salas, Joaquín; Raducanu, Bogdan. 2012. "Evaluation of Intrinsic Image Algorithms to Detect the Shadows Cast by Static Objects Outdoors." Sensors 12, no. 10: 13333-13348.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert