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  1. Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis (MPVA '10)
  2. Efficient person identification using active cameras in a smartroom
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Image-based indoor positioning system: fast image matching using omnidirectional panoramic images
Real time multiple people tracking and pose estimation
Video narrative authoring with motion inpainting
Efficient person identification using active cameras in a smartroom
Learning local features for age estimation on real-life faces
Spatial-temporal understanding of urban scenes through large camera network
3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE
Space speaks: towards socially and personality aware visual surveillance
Modeling and recognition of complex multi-person interactions in video
Learning human pose in crowd
Video topic modelling with behavioural segmentation

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Efficient person identification using active cameras in a smartroom

Content Provider ACM Digital Library
Author van de Camp, Florian Stiefelhagen, Rainer Voit, Michael
Abstract 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.
Starting Page 17
Ending Page 22
Page Count 6
File Format PDF
ISBN 9781450301671
DOI 10.1145/1878039.1878044
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Active cameras Tracking Headpose Efficiency Smartrooms Identification
Content Type Text
Resource Type Article
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