Image-based geographical location estimation using web cameras

Author

Jeehyun Choe ; Pramoun, Thitiporn ; Amornraksa, Thumrongrat ; Yung-Hsiang Lu ; Delp, Edward J.

Author_Institution

Video & Image Process. Lab. (VIPER), Purdue Univ., West Lafayette, IN, USA

fYear

2014

fDate

6-8 April 2014

Firstpage

73

Lastpage

76

Abstract

This paper describes a method for estimating the location of an IP-connected camera (a web cam) by analyzing a sequence of images obtained from the camera. First, we classify each image as Day/Night using the mean luminance of the sky region. From the Day/Night images, we estimate the sunrise/set, the length of the day, and local noon. Finally, the geographical location (latitude and longitude) of the camera is estimated. The experiment results show that our approach achieves reasonable performance.

Keywords

cameras; geographic information systems; image classification; image sequences; IP-connected camera; Web cameras; day/night images; image classification; image sequences; image-based geographical location estimation; mean luminance; sky region; Cameras; Educational institutions; Estimation; Image edge detection; Internet; Meteorology; Sun; environmental monitoring; latitude; longitude; sunrise/sunset; web camera;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on

Conference_Location

San Diego, CA

Type

conf

DOI

10.1109/SSIAI.2014.6806032

Filename

6806032