Hua-Wen Tsai
Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan, 33306, Taiwan
Xiao-Feng Zhao
Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan, 33306, Taiwan
ABSTRACT
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
URL: https://scialert.net/abstract/?doi=jas.2013.3569.3573
DOI: 10.3923/jas.2013.3569.3573
URL: https://scialert.net/abstract/?doi=jas.2013.3569.3573
REFERENCES
- Ma, H., M. Yang, D. Li, Y. Hong and W. Chen, 2012. Minimum camera barrier coverage in wireless camera sensor networks. Proceedings of the 31st Annual IEEE International Conference on Computer Communications, March 25-30, 2012, Orlando, FL., USA., pp: 217-225.
CrossRef - Monari, E. and K. Kroschel, 2009. A knowledge-based camera selection approach for object tracking in large sensor networks. Proceedings of the 3rd ACM/IEEE International Conference on Distributed Smart Cameras, August 30-September 2, 2009, Como, Italy, pp: 1-8.
CrossRef - Shih, K.P., C.M. Chou, I.H. Liu and C.C. Li, 2010. On barrier coverage in wireless camera sensor network. Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, April 20-23, 2010, Perth, Australia, pp: 873-879.
CrossRef - Wang, C., B. Wang and W. Liu, 2011. Movement strategies for improving barrier coverage in wireless sensor networks: A survey. Proceedings of the 13th IEEE International Conference on Communication Technology, September 25-28, 2011, Jinan, China, pp: 938-943.
CrossRef