Audience monitor
Author:
Affiliation:
1. Universitá della Svizzera italiana (USI), Lugano, CH
2. Lancaster University, Lancaster, UK
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3078810.3078823
Reference28 articles.
1. S. Ali and M. Shah „Floor Fields for Tracking in High Density Crowd Scenes " In Proceedings of the 10th European Conference on Computer Vision: Part II (ECCV '08) David Forsyth Philip Torr and Andrew Zisserman (Eds.). Springer-Verlag Berlin Heidelberg pp 1--14 2008. 10.1007/978-3-540-88688-4_1 S. Ali and M. Shah „Floor Fields for Tracking in High Density Crowd Scenes " In Proceedings of the 10th European Conference on Computer Vision: Part II (ECCV '08) David Forsyth Philip Torr and Andrew Zisserman (Eds.). Springer-Verlag Berlin Heidelberg pp 1--14 2008. 10.1007/978-3-540-88688-4_1
2. How to evaluate public displays
3. Proxemic interaction
4. A. B. Chan Z. S. J. Liang N. Vasconcelos "Privacy preserving crowd monitoring: Counting people without people models or tracking " IEEE Conference on Computer Vision and Pattern Recognition 2008. A. B. Chan Z. S. J. Liang N. Vasconcelos "Privacy preserving crowd monitoring: Counting people without people models or tracking " IEEE Conference on Computer Vision and Pattern Recognition 2008.
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3. Toward privacy-aware federated analytics of cohorts for smart mobility;Frontiers in Computer Science;2022-07-27
4. Spontaneous Utilization: A Classic Grounded Theory of Utilizing Ambient Displays in Professional, Large-Scale Agile Software Development Environments;International Journal of Human–Computer Interaction;2021-12-20
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