Although the existing localization algorithms may be used to provide approximate locations of camera sensors, in order to obtain the precise positions and orientations of cameras that would be appropriate for basic computer vision tasks involving multiple cameras, an alternative localization technique is needed. Thus, we have developed a distributed online localization algorithm that is suitable for wireless camera-based sensor networks. Our system does not require any beacon nodes, but only utilize object features of moving objects in the scene extracted from image sequence. The algorithm is fully distributed, and the localization estimates can be improved throughout the course of network life as more object features are obtained. Video clips that show the simulations of our system using a graphical simulator are available below.
• Johnny Park
Henry Medeiros, Hidekazu Iwaki, and Johnny Park , “Online Distributed Calibration of a Large Network of Wireless Cameras Using Dynamic Clustering,” ACM/IEEE International Conference on Distributed Smart Cameras, 2008. (accepted)
The two video clips below show the localization process visualized by our simulation tool. Before viewing the videos, please see the table below so that you will fully understand the entire localization process.
Localization of 100 cameras in a room-like environment
Localization of 100 cameras in a street-like environment