Title :
Distributed Self-Deployment in Visual Sensor Networks
Author :
Beall, Chris ; Qi, Hairong
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
Abstract :
This paper describes the design and implementation of a distributed self-deployment algorithm in wireless visual sensor networks. The algorithm is tested on an actual mobile sensor platform (MSP) testbed, and a centralized version is also discussed for performance evaluation and comparison. Both algorithms are evaluated for speed and accuracy. Structured marker detection provided by the ARToolKit is employed for localization of the nodes. Experimental results show that localization using these types of markers has an accuracy of about 96% in ideal lighting conditions, and the proposed self-deployment algorithms perform as desired
Keywords :
object detection; pose estimation; sensor fusion; wireless sensor networks; ARToolKit; distributed self-deployment; marker detection; mobile sensor platform; wireless visual sensor networks; Algorithm design and analysis; Global Positioning System; Object detection; Remote monitoring; Sensor phenomena and characterization; Sensor systems; Surveillance; Testing; Visualization; Wireless sensor networks;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345397
