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20 Feb 2018: 6. AcknowledgementThe work described in this paper represents the combined ef-forts of many people.

14 Sep 2006: The algo-rithm is tested to give quantitative results on crowds of upto 33 people. ... 16] D. Ramanan and D. A. Forsyth. Finding and tracking people from the bottomup.

10 Nov 2015: What strategy should be used? Note most people are assumed to prefer a car to a goat!

21 Sep 2006: Research in sign language recogni-tion is therefore useful in building an interface between deaf and hearing people, and alsoin developing novel human-computer interfaces. ... These 5 hand shapes were selected because people can easilytell them apart

9 Dec 2006: particular speakers in databases,tracking speakers across multiple audio documents or broadcasts, orfinding which people support which views in multi-speaker debates.This work considers an extension to the ‘who spoke ... For exam-ple, speaker models

20 Feb 2018: In our evaluation, we demon-strate substantial gains for Hebrew and Croatian, both of whichare spoken by less than 10 million people worldwide.

19 May 2014: 4. Motion Analysis. Detection and. tracking people in crowds. Brostow and Cipolla 2006. ... Image motion. Tracking people in crowds. Cognitive Systems Engineering. 5. Detection and recognition in video.

Professor Roberto Cipolla, Department of Engineering. Archive. In this section, you can find archived presentations, publications, press articles and computer vision software. Copyright 2008 Roberto Cipolla.

13 Mar 2018: Expressiveness isan important aspect of any direct interaction between people.The expressions convey additional information to the listenerbeyond the spoken words. ... Twenty people wereasked to identify the emotions depicted in the original au-dio/video

8 Aug 2005: Recognition ratesof 97–100% are consistently achieved on databases of 35–90 people. ... Shown is the identificationrate (%) for five databases of 35 people (1–5) and one of 90 (6).