CamDroid: a system for implementing intelligent camera control
I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
Building an intelligent camera management system
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Scheduling an active camera to observe people
Proceedings of the ACM 2nd 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
Multimodal identity tracking in a smart room
Personal and Ubiquitous Computing
Open-Set Face Recognition-Based Visitor Interface System
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Multi- and single view multiperson tracking for smart room environments
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Neural network-based head pose estimation and multi-view fusion
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
I see you there!: developing identity-preserving embodied interaction for museum exhibits
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Identifying people is an important task in a Smartroom environment. Active cameras are well suited for the task as they provide high resolution images at almost any location in the room. Since active cameras only observe a small part of the field of view they are capable of, it is important to schedule their movement to efficiently use them for face identification. An effective way to schedule cameras would be to always steer them towards persons currently looking at the camera. To realize this, we utilize the headpose estimation component of our smartroom to schedule the active cameras. To overcome the problems associated with evaluating active camera setups, we propose an evaluation methodology that allows for repetition of experiments without invalidating the comparability of the results. The conducted experiments show a significant improvement in the number of face detections in the view of the active cameras utilizing a headpose based scheduling strategy compared to a less dynamic baseline scheduler