Optimal Camera Placement for Automated Surveillance Tasks

— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number of tasks we can use these systems for is almost limitless. In addition, camera placement has an enormous impact on the performance of human-centric vision systems. As a result, this paper focuses largely on the problem of task-specific camera placement. We attempt to determine how to place cameras relative to activities being performed by human subjects, in order to provide image input to a system so as to optimize that system’s ability to achieve its task (learn activities, recognize motion, take measurements, etc.). We develop methods for the task-specific camera placement of multicamera systems. Our goal is to optimize the aggregate observability of the tasks being performed by the subjects in an area. We develop a general analytical formulation of the observation problem, in terms of the statistics of...

• Type: Journal
• Year: 2007
• Where: JIRS
• Authors: Robert Bodor, Andrew Drenner, Paul R. Schrater, Nikolaos Papanikolopoulos
• Keywords: Camera Placement, JIRS 2007, Systems, Task-specific Camera Placement