Person detection from overhead view: A survey

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

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

In recent years, overhead view based person detection gained importance, due to handling occlusion problem and providing better coverage in scene, as compared to frontal view. In computer vision, overhead based person detection holds significant importance in many applications including person detection, person counting, person tracking, behavior analysis and occlusion free surveillance system, etc. This paper aims to provide a comprehensive survey 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.

Original languageEnglish
Pages (from-to)567-577
Number of pages11
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number4
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • Background subtraction
  • Blob based techniques
  • Feature based techniques
  • Person detection
  • Segmentation

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