Theory of linear and integer programming
Theory of linear and integer programming
View planning for automated three-dimensional object reconstruction and inspection
ACM Computing Surveys (CSUR)
Automatic pan-tilt-zoom calibration in the presence of hybrid sensor networks
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
A design methodology for selection and placement of sensors in multimedia surveillance systems
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Cost-effective outbreak detection in networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Optimal Camera Placement for Automated Surveillance Tasks
Journal of Intelligent and Robotic Systems
Automatic sensor placement for model-based robot vision
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Threat-based evaluation for context-aware multimedia surveillance system
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Hi-index | 0.00 |
This article addresses the problem of how to select the optimal combination of sensors and how to determine their optimal placement in a surveillance region in order to meet the given performance requirements at a minimal cost for a multimedia surveillance system. We propose to solve this problem by obtaining a performance vector, with its elements representing the performances of subtasks, for a given input combination of sensors and their placement. Then we show that the optimal sensor selection problem can be converted into the form of Integer Linear Programming problem (ILP) by using a linear model for computing the optimal performance vector corresponding to a sensor combination. Optimal performance vector corresponding to a sensor combination refers to the performance vector corresponding to the optimal placement of a sensor combination. To demonstrate the utility of our technique, we design and build a surveillance system consisting of PTZ (Pan-Tilt-Zoom) cameras and active motion sensors for capturing faces. Finally, we show experimentally that optimal placement of sensors based on the design maximizes the system performance.