TernCam: an automated energy-efficient visual surveillance system
by Chia-Pang Chen; Cheng-Long Chuang; Tzu-Shiang Lin; Chun-Yi Liu; Joe-Air Jiang; Hsiao-Wei Yuan; Chyi-Rong Chiou; Chung-Hang Hong
International Journal of Computational Science and Engineering (IJCSE), Vol. 9, No. 1/2, 2014

Abstract: The Matsu Islands in Taiwan are an archipelago of islands surrounded by the sea. Some of the islands are chosen as the breeding places by many kinds of migratory birds. Among these sea birds, one of the critical endangered species is the Chinese Crested Tern (Thalasseus bernsteini). In the past, its habitual ecological behaviour has been inspected by manual observation with trivial information. Thus, we developed a wireless real-time visual surveillance system to monitor the terns, so the in-situ situation could be captured immediately. It is expected that the system can unravel the mysterious ecological behaviour of the tern. Meanwhile, in order to be suitable for the circumstances of wild islands, the system is designed with a specific packet transmitting strategy capable of increasing image validity while decreasing power consumption. The experimental results show the system is feasible for ecological monitoring and able to effectively preserve the image completeness.

Online publication date: Sat, 24-May-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com