Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximating the Throughput of Multiple Machines in Real-Time Scheduling
SIAM Journal on Computing
Scheduling Multiclass Packet Streams to Minimize Weighted Loss
Queueing Systems: Theory and Applications
Adaptive resolution system for distributed surveillance
Real-Time Imaging
Tracking and Object Classification for Automated Surveillance
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Developments from a June 1996 seminar on Online algorithms: the state of the art
Active Face Tracking and Pose Estimation in an Interactive Room
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
VS '98 Proceedings of the 1998 IEEE Workshop on Visual Surveillance
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 master-slave system to acquire biometric imagery of humans at distance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Scheduling real-time traffic in ATM networks
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 1
Multimedia surveillance systems
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Acquisition of high-resolution images through on-line saccade sequence planning
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Surveillance camera scheduling: a virtual vision approach
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
A reinforcement learning approach to active camera foveation
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Towards on-line saccade planning for high-resolution image sensing
Pattern Recognition Letters
Towards on-line saccade planning for high-resolution image sensing
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
A simulation framework for camera sensor networks research
Proceedings of the 11th communications and networking simulation symposium
Single view geometry and active camera networks made easy
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Content and task-based view selection from multiple video streams
Multimedia Tools and Applications
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Distributed coalition formation in visual sensor networks: a virtual vision approach
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks
Computer Vision and Image Understanding
Efficient person identification using active cameras in a smartroom
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Review: on the use of agent technology in intelligent, multisensory and distributed surveillance
The Knowledge Engineering Review
Event prediction in a hybrid camera network
ACM Transactions on Sensor Networks (TOSN)
Online control of active camera networks for computer vision tasks
ACM Transactions on Sensor Networks (TOSN)
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Remote identification of people is an important capability for security systems. Automatically controlling a pan-tilt-zoom camera is an effective way to collect high resolution video or images of people in an unconstrained environment. Often there will be more people in an area than cameras available. The cameras must then divide their time among the people in order to view everyone. In this paper, we discuss the challenges involved in scheduling an active camera to observe multiple people. We present some candidate scheduling policies to address these challenges and evaluate their performance. The evaluation was conducted with a simulation based on data collected with our cooperative active camera system.