Faster construction of planar two-centers
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
Face Cataloger: Multi-Scale Imaging for Relating Identity to Location
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
A Scalable Image-Based Multi-Camera Visual Surveillance System
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
A master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Scheduling an active camera to observe people
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Minimum-cost coverage of point sets by disks
Proceedings of the twenty-second annual symposium on Computational geometry
Algorithms for two-box covering
Proceedings of the twenty-second annual symposium on Computational geometry
ACM Computing Surveys (CSUR)
Multi-Camera Human Activity Monitoring
Journal of Intelligent and Robotic Systems
Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras
Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Task scheduling in large camera networks
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Approximate Algorithms for a Collaboratively Controlled Robotic Camera
IEEE Transactions on Robotics
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We report an autonomous surveillance system with multiple pan-tilt-zoom (PTZ) cameras assisted by a fixed wide-angle camera. The wide-angle camera provides large but low resolution coverage and detects and tracks all moving objects in the scene. Based on the output of the wide-angle camera, the system generates spatiotemporal observation requests for each moving object, which are candidates for close-up views using PTZ cameras. Due to the fact that there are usually much more objects than the number of PTZ cameras, the system first assigns a subset of the requests/objects to each PTZ camera. The PTZ cameras then select the parameter settings that best satisfy the assigned competing requests to provide high resolution views of the moving objects. We propose an approximation algorithm to solve the request assignment and the camera parameter selection problems in real time. The effectiveness of the proposed system is validated in both simulation and physical experiment. In comparison with an existing work using simulation, it shows that in heavy traffic scenarios, our algorithm increases the number of observed objects by over 210%.