REAL-TIME HAND DETECTION BY DEPTH IMAGES: A SURVEY

Authors

  • Mostafa Karbasi Khulliyyah of Information and Communication Technology, International Islamic University Malaysia
  • Zeeshan Bhatti Khulliyyah of Information and Communication Technology, International Islamic University Malaysia
  • Reza Aghababaeyan Department of Computer, Rodehen Branch, Islamic Azad University, Rodehen, Iran
  • Sara Bilal Khulliyyah of Information and Communication Technology, International Islamic University Malaysia
  • Abdolvahab Ehsani Rad Department of Computer Engineering, Faculty of Advance Informatics School, University Teknologi of Malaysia
  • Asadullah Shah Khulliyyah of Information and Communication Technology, International Islamic University Malaysia
  • Ahmad Waqas Khulliyyah of Information and Communication Technology, International Islamic University Malaysia

DOI:

https://doi.org/10.11113/jt.v78.5292

Keywords:

HCI Application, Depth Camera, Hand Detection, Depth Data, Depth Images

Abstract

Human hand detection can enable human to communicate with a machine and interact without any external device. Human hands play an important role in different applications such as medical image processing, sign language translator, gesture recognition and augmented reality. A human hand has different length and breadth for male and female. So, it is a complex articulated object consisting many connected parts and joints. Traditional methods for hand detection and tracking used color and shape information from RGB camera. Using a depth camera for hand detection and tracking is a challenging and interesting domain in computer vision. Some research has shown that using depth data for hand detection can improve human computer interaction. Recently, researchers used depth data in different hand detection and tracking methods in real time application. This paper explains different types of methods which are used for human hand detection. Various techniques and methods are explored and analyzed in this survey to determine the shortfalls and future directions in the field of hand detection from depth data.

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Published

2016-02-09

Issue

Vol. 78 No. 2: February 2016

Section

Science and Engineering

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Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.

How to Cite

REAL-TIME HAND DETECTION BY DEPTH IMAGES: A SURVEY. (2016). Jurnal Teknologi, 78(2). https://doi.org/10.11113/jt.v78.5292