This thesis presents dynamic reconfiguration methods for Active Camera
Networks. Active Camera Networks consist of autonomous vehicles - each
one equipped with a visual sensor - communicating wirelessly with each
other in order to perform surveillance tasks in a collaborative way.
Recent advances in the area of robotics have led to the development of
autonomous vehicles and unmanned aerial vehicles that can be used to
explore operational environments such as urban areas or unknown building
structures. This thesis is devoted to the development of dynamic
reconfiguration methods, which allow for distributed control of
collaborating cameras in dynamic environments. Thus, they act
self-organizing and with the least a priori information in terms of
their environment. The focus is on the wide-area target acquisition of
moving targets in a surveillance area. It addresses application
scenarios where events unfold over a large geographic area and close-up
views have to be acquired for biometric tasks such as face detection.
The main problem is to coordinate numerous cameras in order to reach a
system behavior that only one capture of each target is acquired.