Person Detection from Overhead View: A Survey

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.

Authors and Affiliations

Misbah Ahmad, Imran Ahmed, Kaleem Ullah, Iqbal khan, Ayesha Khattak, Awais Adnan

Keywords

Related Articles

Local Average of Nearest Neighbors: Univariate Time Series Imputation

The imputation of time series is one of the most important tasks in the homogenization process, the quality and precision of this process will directly influence the accuracy of the time series predictions. This paper pr...

A Frame Work for Preserving Privacy in Social Media using Generalized Gaussian Mixture Model

Social networking sites helps in developing virtual communities for people to share their thoughts, interest activities or to increase their horizon of camaraderie. Social networking sites come under few of the most freq...

A Novel Student Risk Identification Model using Machine Learning Approach

This research work aim at addressing issues in detecting student, who are at risk of failing to complete their course. The conceptual design presents a solution for efficient learning in non-existence of data from previo...

Comparative Analysis of Support Vector Machine, Maximum Likelihood and Neural Network Classification on Multispectral Remote Sensing Data

Land cover classification is an essential process in many remote sensing applications. Classification based on supervised methods have been preferred by many due to its practicality, accuracy and objectivity compared to...

Methods of Isolation for Application Traces Using Virtual Machines and Shadow Copies

To improve the user's experience, almost all applications save usage data: web browsers save history and cookies, chat programs save message archives and so on. However, this data can be confidential and may compromise t...

Download PDF file
  • EP ID EP552374
  • DOI 10.14569/IJACSA.2019.0100470
  • Views 92
  • Downloads 0

How To Cite

Misbah Ahmad, Imran Ahmed, Kaleem Ullah, Iqbal khan, Ayesha Khattak, Awais Adnan (2019). Person Detection from Overhead View: A Survey. International Journal of Advanced Computer Science & Applications, 10(4), 567-577. https://europub.co.uk/articles/-A-552374