Download Advances in Artificial Intelligence: 29th Canadian by Richard Khoury, Christopher Drummond PDF

By Richard Khoury, Christopher Drummond

This booklet constitutes the refereed court cases of the twenty ninth Canadian convention on synthetic Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 complete papers and 27 brief papers offered have been conscientiously reviewed and chosen from ninety seven submissions. the focal point of the convention used to be at the following topics: activities and behaviours, audio and visible acceptance, typical language processing, reasoning and studying, streams and allotted computing.

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14(2), 201–211 (1973) 8. : Derivative dynamic time warping. SIAM (2001) 9. : On space-time interest points. IJCV 64(2–3), 107–123 (2005) 10. : Learning realistic human actions from movies. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8. IEEE (2008) 11. : Action recognition based on a bag of 3D points. In: CVPR Workshop (CVPRW), pp. 9–14. IEEE (2010) 12. : Recognizing human actions by attributes. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3337–3344.

LNCS, vol. 7441, pp. 252–259. Springer, Heidelberg (2012) 23. : Action recognition by dense trajectories. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3169–3176. IEEE (2011) 24. : Robust 3D action recognition with random occupancy patterns. , Schmid, C. ) ECCV 2012, Part II. LNCS, vol. 7573, pp. 872–885. Springer, Heidelberg (2012) 25. : Mining actionlet ensemble for action recognition with depth cameras. In: IEEE Conference on Computer Vision and Pattern Recognition, pp.

Reichherzer et al. provides sensor agents for collecting environmental data such as ambient temperature and light, pressure on sofa chair cushions or a bed to detect residents sitting or laying on them, stove top temperatures and infrared sensors to detect when a burner is on and in use, water flow of a sink faucet, and water level in a kitchen sink. These sensors have been chosen to collect sufficient data to infer normal activities such as getting up in the morning and using the stove and the kitchen sink to prepare a meal.

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