Sensors | |
Illumination and Reflectance Estimation with its Application in Foreground Detection | |
Gang Jun Tu2  Henrik Karstoft1  Lene Juul Pedersen2  Erik Jørgensen2  | |
[1] Department of Engineering, Aarhus University, 8000 Aarhus C, Denmark; E-Mail:;Department of Animal Science, Aarhus University, 8830 Tjele, Denmark; E-Mails: | |
关键词: grayscale video recordings; homomorphic wavelet filter; wavelet quotient image model; illumination and reflectance estimation; foreground detection; | |
DOI : 10.3390/s150921407 | |
来源: mdpi | |
【 摘 要 】
In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory. We use a homomorphic wavelet filter (HWF) and define a wavelet quotient image (WQI) model based on dyadic wavelet transform. The illumination and reflectance components are estimated by using HWF and WQI, respectively. Based on the illumination and reflectance estimation we develop an algorithm to segment sows in grayscale video recordings which are captured in complex farrowing pens. Experimental results demonstrate that the algorithm can be applied to detect the domestic animals in complex environments such as light changes, motionless foreground objects and dynamic background.
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190007400ZK.pdf | 1905KB | download |