Title :
Person to Camera Distance Measurement Based on Eye-Distance
Author :
Rahman, Khandaker Abir ; Hossain, Md Shafaeat ; Bhuiyan, Md Al-Amin ; Zhang, Tao ; Hasanuzzaman, Md ; Ueno, H.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh
Abstract :
This paper presents a novel person to camera distance measuring system based on eye-distance. The distance between centers of two eyes is used for measuring the person to camera distance. The variation in eye-distance (in pixels) with the changes in camera to person distance (in inches) is used to formulate the distance measuring system. The system starts with computing the distance between two eyes of a person and then person to camera distance is measured. The proposed distance measurement system is relatively simple and inexpensive to implement as it does not require any other external distance measuring tools. Experimental results show the effectiveness of the system with an average accuracy of 94.11%.
Keywords :
CCD image sensors; distance measurement; image processing; distance measuring system; eye-distance; person to camera distance measurement; Cameras; Charge-coupled image sensors; Computer science; Distance measurement; Electronic mail; Eyes; Face detection; Image storage; Optical reflection; Ultrasonic variables measurement; eye detection; eye distance; person to camera distance;
Conference_Titel :
Multimedia and Ubiquitous Engineering, 2009. MUE '09. Third International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-3658-3
DOI :
10.1109/MUE.2009.34
