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Semantic object classes in video: A high-definition ground truth…
mi.eng.cam.ac.uk/~cipolla/publications/article/2009-PR-car-video-database.pdf13 Mar 2018: They include fixed objects, typesof road surface, moving objects (including vehicles and people),. ... People smaller than that in image-space are often not detected (shown as red rectangles). -
C:/SFWDoc/Academic/Publications/2005/BMVC_2005/FinalPaper/bmvc_05_sfwo…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-BMVC-Wongsf-realtime.pdf13 Mar 2018: 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 -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2004-BMVC-Arandjelovic-invariant.pdf13 Mar 2018: KLD wasalso criticized for being asymmetric [1, 9]. More subtly, both approaches have the disadvantage of comparing whole face distributions, whichhas the implicit assumption that for the same people we expect ... It wasshown that our method consistently -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, JANUARY…
mi.eng.cam.ac.uk/~sjy/papers/gayo14.pdf20 Feb 2018: The results were then averagedand presented with one standard error. 5) The MTurk Amazon Service: In order to evaluate differ-ent policies with real people we recruited subjects using theAmazon MTurk -
TAN, BUDVYTIS, CIPOLLA: INDIRECT DEEP STRUCTURED LEARNING 1 Indirect…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-BMVC-3D-body-indirect.pdf13 Mar 2018: artificially generated 3D human body images (using SMPL [2]) and on real images from theUnite the People dataset [9]. ... within the range of values ob-served in the Unite The People dataset [9]. -
Efficiently Combining Contour and TextureCues for Object Recognition…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf13 Mar 2018: We highlight the categorization im-provements for bikes (side and front), people, cups, and cars ( 23 rear), and the detectionimprovements for bikes (side) and cars (front). ... Horses (front). People. Cars (front). Cows (front). Cars ( rear). Cups. -
05-02_178
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-MVA-Thayananthan.pdf13 Mar 2018: method was tested on 40 frames of a real 15 Hzvideo (resolution 160x120), where two people cross infront of a stationary background. -
Towards Person Authentication by Fusing Visual and Thermal…
mi.eng.cam.ac.uk/~cipolla/publications/contributionToEditedBook/2007-MM-chapter1.pdf13 Mar 2018: 5. The practical importance of this canbe seen by noting that in the US in 2000 roughly 96 million people, or 34% of the total population, woreprescription glasses [42]. ... In theformer case, we assumed that test data corresponded to one of people in -
Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Galasso-ST.pdf13 Mar 2018: a vision system may be employed to detect. pieces of clothing, human silhouettes, or a moving crowd.Contemporary people detectors achieve this goal by. ... As discussed in Sec. 4, our modelmay be employed to learn different motion patterns but thisstudy -
Co-occurrence Flow for Pedestrian Detection
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICIP-pedestrian-detection.pdf13 Mar 2018: In BMVC, 2009. [20] C. Wojek and B. Schiele. A performance evaluation of single and multi-feature people detection.
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