Smart Camera Networks in 2 Virtual Reality 3 Simulated smart cameras track the movement of simulated pedestrians in 4 a simulated train station , allowing development of improved 5 control strategies for smart camera networks

7 ABSTRACT | This paper presents our research towards smart 8 camera networks capable of carrying out advanced surveil9 lance tasks with little or no human supervision. A unique 10 centerpiece of our work is the combination of computer 11 graphics, artificial life, and computer vision simulation tech12 nologies to develop such networks and experiment with them. 13 Specifically, we demonstrate a smart camera network com14 prising static and active simulated video surveillance cameras 15 that provides extensive coverage of a large virtual public space, 16 a train station populated by autonomously self-animating 17 virtual pedestrians. The realistically simulated network of 18 smart cameras performs persistent visual surveillance of 19 individual pedestrians with minimal intervention. Our innova20 tive camera control strategy naturally addresses camera 21 aggregation and handoff, is robust against camera and 22 communication failures, and requires no camera calibration, 23 detailed world model, or central controller.