Paper Info
Title
Person to Camera Distance Measurement Based on Eye-Distance
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%.
Year
DOI
Venue
2009
10.1109/MUE.2009.34
MUE
Keywords
Field
DocType
external distance,camera distance measurement,average accuracy,novel person,proposed distance measurement system,person distance,camera distance,face,face detection,accuracy,computer science,pixel,image processing
Computer vision,Distance measurement,Computer graphics (images),Computer science,Camera auto-calibration,Image processing,Pixel,Artificial intelligence,Eye detection
Conference
Citations 
PageRank 
References 
8
0.87
0
Authors
6
Name
Order
Citations
PageRank
Khandaker Abir Rahman1205.19
Md. Shafaeat Hossain284.25
Md. Al-Amin Bhuiyan3122.43
Tao Zhang4422100.57
Md. Hasanuzzaman5498.75
Haruki Ueno612918.02