Title :
Novel methods for feature extraction based on motion history images and evaluation with regard to altering viewing angles
Author :
Richter, Janek ; Hirtz, Gangolf
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
Abstract :
In recent years Western countries have been facing the impact of demographic change. Due to factors such as a rising lifetime expectancy and a decreasing birth rate, our society is getting older. This development is accompanied by constant lack of nursing staff, which leads to an imbalance of people who need care and professionally trained personnel caring for them. There already is a variety of approaches investigating vision-based action recognition. In this paper novel methods for feature extraction from motion history images are proposed.
Keywords :
feature extraction; image motion analysis; image recognition; medical image processing; patient care; Western country; altering viewing angle; feature extraction; motion history imaging; nursing staff; professionally trained personnel; vision-based action recognition; Cameras; Feature extraction; History; Materials; Support vector machine classification; Training; AAL; ADL; action recognition; image models; machine learning; motion history image; view variance;
Conference_Titel :
Consumer Electronics ?? Berlin (ICCE-Berlin), 2013. ICCEBerlin 2013. IEEE Third International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1411-1
DOI :
10.1109/ICCE-Berlin.2013.6697978