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Advanced Vision Technology for Human-Computer Interaction

Call for Papers

With the development of artificial intelligence, vision-enhanced or vision-assisted intelligent systems have been widely explored in human society. Vision technology, including data capturing, processing, and analyzing, plays an essential role for Human-Computer Interaction (HCI) in autonomous intelligent systems. Although significant efforts have been made at computer vision field in these years, difficulties still remain for the development of high level application of HCI due to the challenging issues such as illumination variance, occlusion, and complex environment, which may degrade the performance of vision system. To address these challenges, either advanced vision systems or sophisticated algorithms should be developed for the practical application.

Vision can be used as a passive, nonintrusive, and noncontact input modality for HCI, which plays an important role in the HCI system. The objective of this special issue is to effectively and efficiently percept, extract, and process visual cues/features (i.e., gaze, gesture, facial expression, and human motion) with advanced vision technology to facilitate the HCI system. Therefore, high-quality research articles as well as reviews to address the recent development on advanced vision technology for HCI system are welcome.

Potential topics include but are not limited to the following:

  • Advanced visual detection and tracking technology for HCI
  • Deep learning network for advanced vision application in HCI system
  • Omnidirectional visual sensing and perception for HCI system
  • Object recognition and representation in 3D vision technique for HCI system
  • Human activity understanding for HCI
  • Visual SLAM, visual odometry, and pose estimation for HCI system
  • The algorithm for advanced human gaze estimation for HCI
  • Recent advanced vision technology applied for HCI

Authors can submit their manuscripts through the Manuscript Tracking System at

Submission DeadlineFriday, 27 July 2018
Publication DateDecember 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

  • Xiaolong Zhou, Zhejiang University of Technology, Hangzhou, China

Guest Editors

  • Zhanpeng Shao, City University of Hong Kong, Kowloon, Hong Kong
  • Yazhe Tang, National University of Singapore, Singapore
  • Liao Wu, Queensland University of Technology, Brisbane, Australia