Hardware design of codebook‐based moving object detecting method for dynamic gesture recognition

Ching Han Chen, Ching Yi Chen, Nai Yuan Liu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This study introduces a dynamic gesture recognition system applicable in IPTV remote control. In this system, we developed a hardware accelerator for real-time moving object detection. It is able to detect the position of hand block in each frame at high speed. After acquiring the information of hand block, the system can capture the robust dynamic gesture feature with the moving trail of hand block in the continuous images, and input to FNN classifier for starting recognition process. The experimental results show that our method has a good recognition performance, and more applicable to real gesture-controlled human-computer interactive environment.

Original languageEnglish
Pages (from-to)375-384
Number of pages10
JournalIntelligent Automation and Soft Computing
Volume25
Issue number2
DOIs
StatePublished - Jun 2019

Keywords

  • Dynamic gesture recognition
  • FNN classifier
  • Hardware accelerator
  • IPTV

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