Abstract: In recent years, overhead view based person detection gained importance, due to handling occlusion problem and providing better coverage in scene, as com-pared to frontal view. In computer vision, overhead based person detection holds significant importance in many appli-cations including person detection, person counting, person tracking, behavior analysis and occlusion free surveillance system, etc. This paper aims to provide a comprehensive sur-vey on recent development and challenges related to person detection from top view. To the best of our knowledge, it is the first attempt which provides the survey of different overhead person detection techniques. This paper provides an overview of state of the art overhead based person detection methods and guidelines to choose the appropriate method in real life applications. The techniques are divided into two main categories: the blob-based techniques and the feature-based techniques. Various detection factors such as field of view, region of interest, color space, image resolution are also examined along with a variety of top view datasets.

Misbah Ahmad, Imran Ahmed, Kaleem Ullah, Iqbal khan, Ayesha Khattak and Awais Adnan, “Person Detection from Overhead View: A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 10(4), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100470

@article{Ahmad2019,
title = {Person Detection from Overhead View: A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100470},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100470},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Misbah Ahmad and Imran Ahmed and Kaleem Ullah and Iqbal khan and Ayesha Khattak and Awais Adnan}
}