Title :
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
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;
Conference_Titel :
Image Analysis and Interpretation (SSIAI), 2014 IEEE Southwest Symposium on
Conference_Location :
San Diego, CA
DOI :
10.1109/SSIAI.2014.6806032
