Illumination-invariant change detection model for patient monitoring video.
Video recording is often conducted in the medical environment. Change detection provides a powerful tool to detect dynamic changes in the video to aid in monitoring and diagnosis. Illumination variation presents a typical problem for a change detection method to gain robustness. In this work, we describe a new method based on an illumination model and test statistics to reduce the sensitivity of detection to illumination changes. The effectiveness of this method is demonstrated by our experimental results.
Liu
Qiang
Q
Department of Electrical Engineering, University of Pittsburgh, PA 15261, USA.
Sun
Mingui
M
Sclabassi
Robert
R