Design and implementation of real-time object tracking system using the gaussian motion model and the Otsu Algorithm

Meei Ling Hung, Chin Shu Chang, Ji Ding Chen, Jui Sheng Lin, Teh-Lu Liao

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Due to the rapid growth of computer science, image processing technology has recently been widely applied to various fields such as video-conferencing, computer vision and face tracking. However, the development of tracking systems is at a standstill because most studies have used the still camera and pure background. In an effort for advancement, this study proposes a wireless real-time tracking system based on background subtraction, the Gauss motion model, and the Otsu algorithm, to identify a moving object and then pursue it. This system consists of (a) a tracking platform with ARM and robot and (b) an image recognition system that regulates the location of the robot to trace the object and identifies the location of the object from the real-time image, respectively. In practice, the results of this study show that the proposed system can effectively trace the specific moving object and mark the object in the center of the view.

原文English
主出版物標題2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
頁面140-143
頁數4
DOIs
出版狀態Published - 2009 十二月 1
事件2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009 - Wuhan, China
持續時間: 2009 十一月 302009 十二月 1

出版系列

名字2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
3

Other

Other2009 2nd International Symposium on Knowledge Acquisition and Modeling, KAM 2009
國家/地區China
城市Wuhan
期間09-11-3009-12-01

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 計算機理論與數學
  • 資訊系統
  • 軟體

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