Recognizing Objects in Smart Homes Based on Human Interaction - Advanced Concepts for Intelligent Vision Systems - page 141

9. Moeslund, T., Hilton, A., Kruger, V.: A survey of advances in vision-based human
motion capture and analysis. Computer Vision and Image Understanding 103,
90-126 (2006)
10. Liu, J., Luo, J., Shah, M.: Recognizing realistic actions from videos “in the wild”.
In: IEEE International Conference on Computer Vision and Pattern Recognition
(2009)
11. Brdiczka, O., Crowley, J.L., Reignier, P.: Learning situation models in a smart
home. Trans. Sys. Man Cyber. Part B 39, 56-63 (2009)
12. Wu, J., Osuntogun, A., Choudhury, T., Philipose, M., Rehg, J.: A scalable approach
to activity recognition based on object use. In: IEEE Int. Conf. on Computer
Vision, pp. 1-8 (2007)
13. Park, S., Kautz, H.: Privacy-preserving recognition of activities in daily living
from multi-view silhouettes and rfid-based training. In: AAAI Symposium on AI
in Eldercare: New Solutions to Old Problems (2008)
14. Wu, C., Aghajan, H.: User-centric environment discovery in smart home with cam-
era networks. IEEE Transactions on System, Man and Cybernetics, Part A (to
appear)
15. Laptev, I.: On space-time interest points. Int. J. Comput. Vision 64, 107-123 (2005)
16. Khalili, A.H., Wu, C., Aghajan, H.: Hierarchical preference learning for light control
from user feedback. In: Third IEEE Workshop on CVPR for Human Communica-
tive Behavior Analysis (2010)