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13 Mar 2018: 15. Figure 8: Results on Sequence II. Detection of bipedal motion of two people walkingacross the scene from opposite directions (from top to bottom). ... S., Cutler, R., 2002. Motion-based recognition514of people in eigengait space. In: Proc.

13 Mar 2018: people may be within the camera’sview. ... 5.1 Face recognition experiments. We have evaluated the face recognition performance using a data set containing 5 people(10 sequences per person, 50 frames per sequence).

13 Mar 2018: Springer-Verlag, London, 1998. [4] C. Bregler and J. Malik. Tracking people with twists and ex-ponential maps.

13 Mar 2018: 5. Thepractical importance of this can be seen by noting that in theUS in 2000 roughly 96 million people, or 34% of the totalpopulation, wore prescription glasses [36]. ... 17] G. Friedrich and Y. Yeshurun. Seeing people in the dark: face recog-nition in

13 Mar 2018: Acknowledgements. The authors are grateful to many people who have helped by proofreading drafts and providingcomments and suggestions.

13 Mar 2018: As a part of our evaluation effort weinclude the CamVid-Instance dataset consisting of instancelabels for people and cars from the original CamVid [6]dataset. ... Row (a) on the right section of this figure contains three image and corresponding instance

13 Mar 2018: For example the scene may include dynamicobjects like people and cars or experience changing weatherconditions. ... The last observation is that PoseNet has an attenuated re-sponse to people and other noisy objects, effectively mask-ing them.

13 Mar 2018: Text input with a one-dimensionalcontinuous signal is possible via the Dasher system [19] andthese simple uses for the S3GP offer a light-weight com-munication device for people that are ... people with repetitive strain injuries.

20 Feb 2018: The SACTI corpus consists of task-. oriented dialogues between two people in a simulated ASR channel.

3 May 2018: We think this is not areflection on the results but rather a reflection on the difficulty withwhich people can judge the similarity of expressions.