An intelligent sensor network for object detection, classification and recognition

Frank Shih, Yi Ta Wu, Chao Fa Chuang, Jiann Liang Chen, Hsi Feng Lu, Yao Chung Chang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In this paper, an intelligent sensor network is developed for object detection, classification and recognition. We utilize wireless sensors as the first layer to detect coordinates of moving objects in a secured area. Cameras are activated to capture image features for object classification and recognition. In order to reduce processing time, a hierarchical image extraction approach is developed. Global object features such as size and motion are acquired for classifying objects into a number of classes. If the moving object is considered suspicious, the cameras will be requested to capture detailed images for object recognition. Experimental results show that our system can achieve a high face recognition rate of 95.4% for the testing images captured by the surveillance system.

Original languageEnglish (US)
Pages (from-to)1955-1969
Number of pages15
JournalJournal of Information Science and Engineering
Volume23
Issue number6
StatePublished - Nov 1 2007

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics

Keywords

  • Image processing
  • Pattern recognition
  • Sensor networks
  • Support vector machine
  • Surveillance system

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