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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 17 | Page No.: 3569-3573
DOI: 10.3923/jas.2013.3569.3573
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Object Tracking in Rotational-based and Regular Deployment Visual Sensor Networks

Hua-Wen Tsai and Xiao-Feng Zhao

Visual sensor networks offer surveillance applications, particularly object tracking. This study uses a rotational-based and regular deployment visual sensor network to track an object. The proposed method is applied to detect the object tracking in security monitoring. This study provides two types of network architecture to deploy the sensor nodes and utilizes the lines of sight between cameras to form a defense face to surround the mobile object. Each sensor node has rotational camera lens and is deployed to form regular network architecture. The proposed tracking method assigns the sensor nodes to surround by an object and to provide continuous monitoring for the object. The proposed update method can ensure that the object is tracking by an update defense face, even if the object is moving out of the original defense face. The major advantage of this algorithm that is can solve the lost object location problem of object tracking. Finally, this study utilizes simulations to analyse and estimate the efficacy and the performance of object tracking in the proposed network architecture.
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How to cite this article:

Hua-Wen Tsai and Xiao-Feng Zhao, 2013. Object Tracking in Rotational-based and Regular Deployment Visual Sensor Networks. Journal of Applied Sciences, 13: 3569-3573.

DOI: 10.3923/jas.2013.3569.3573






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