Illumination and Reflectance Estimation with its Application in Foreground Detection

• Main Authors: Gang Jun Tu, Henrik Karstoft, Lene Juul Pedersen, Erik Jørgensen
• Format: Article
• Language: English
• Published: MDPI AG 2015-08-01
• Series: Sensors
• Subjects: grayscale video recordings; homomorphic wavelet filter; wavelet quotient image model; illumination and reflectance estimation; foreground detection
• Online Access: http://www.mdpi.com/1424-8220/15/9/21407

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.