An intelligent sensor network for object detection, classification and recognition

Document Type

Article

Publication Date

11-1-2007

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.

Identifier

36349031268 (Scopus)

Publication Title

Journal of Information Science and Engineering

ISSN

10162364

First Page

1955

Last Page

1969

Issue

6

Volume

23

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