  The personal photos captured and submitted by users on social networks can
provide several interesting insights about the location of the user, which is a
key indicator of their daily activities. This information is invaluable for
security organisations, especially for security monitoring and tracking
criminal activities. Hence, we propose in this paper a novel approach for
location prediction based on the image analysis of the photos posted on social
media. Our approach combines two main methods to perform the image analysis,
place and face recognition. The first method is used to determine the location
area in the analysed image. The second is used to identify people in the
analysed image, by locating a face in the image and comparing it with a dataset
of images that have been collected from different social platforms. The
effectiveness of the proposed approach is demonstrated through performance
analysis and experimental results.
