IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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
Approximate Algorithms for a Collaboratively Controlled Robotic Camera
IEEE Transactions on Robotics
Efficient person identification using active cameras in a smartroom
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
GPS-based visual tracking for Pan/Tilt/Zoom camera in a ubiquitous camera environment
International Journal of Ad Hoc and Ubiquitous Computing
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We report an autonomous observation 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 solve the request assignment and the camera parameter selection problems in real time. The effectiveness of the proposed system is validated in comparison with an existing work using simulation. The simulation results show that in heavy traffic scenarios, our algorithm increases the number of observed objects by over 200%.