4,040 research outputs found
Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
No full textWe describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been used successfully in the past to model the boundary of static or moving, rigid-bodied objects, but many objects actually deform in some way as they move. Here we use Fourier descriptors to model not only the object’s boundary, but also the spatio-temporal deformations under which the object’s boundary is subjected. We applied this new method to the Large Gait Database, compiled at the University of Southampton, and found that the Fourier descriptors obtained for each person appear to be unique and can be used for recognition. Successful recognition rates of over 85% were obtained from the Large Gait Database using only a small set of descriptors
Accurate object reconstruction by statistical moments
No full textStatistical moments can offer a powerful means for object description in object sequences. Moments used in this way provide a description of the changing shape of the object with time. Using these descriptions to predict temporal views of the object requires efficient and accurate reconstruction of the object from a limited set of moments, but accurate reconstruction from moments has as yet received only limited attention. We show how we can improve accuracy not only by consideration of formulation, but also by a new adaptive thresholding technique that removes one parameter needed in reconstruction. Both approaches are equally applicable for Legendre and other orthogonal moments to improve accuracy in reconstruction
Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/288280Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers298748
Item: [2003.0003.05259] "Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/288283Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers298751
Item: [2003.0003.05262] "Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/288285Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers298753
Item: [2003.0003.05264] "Photograph - Sexual Harassment. Stuart Evans, Suzy Nixon and Dr Mary Emison, Sexual Harassment advisers
Tennessee roads / Jesse Stuart. In Mountain herald / Lincoln Memorial University.
No full textThis picturesque poem was written by then-sophomore (and future celebrated author) Jesse Stuart about the roads of Tennessee
Novel Temporal Views of Moving Objects for Gait Biometrics
No full textThere is increasing interest in novel view reconstruction but less for new time-based views of moving objects as needed for gait biometric deployment. Our interests concern reconstructing moving shapes from their moment history with a view to constructing new temporal views. This paper shows how the moment description through an object sequence can be used to predict missing or intermediate frames within the sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. We use Zernike moments for the convenience of reconstruction, although the framework is applicable to all types of moments. As an example, we show that by interpolating the moment history of a moving human silhouette, a missing frame can be constructed with accuracy, providing a practical basis for the construction of new temporal views of moving objects
No. 617 Stuart Ruckman
No full textTranscript (12, 40 pages) of two interviews by Matt Driscoll with Stuart Ruckman on April 9, 2010, and July 7, 2011Ruckman (b. 1966) was born in Salt Lake City, Utah. Stuart shares how his family, particularly his father, played a significant role in introducing him to the outdoors. Some of his initial explorations included a hike to the top of Mount Olympus when he was five years old, backpacking trips in the Wasatch and Uinta Mountains, and a successful summit attempt on the Grand Teton when he was twelve. Stuart discovered technical rock climbing due to the influence of his older brother Bret, five years Stuart\u27s senior. Bret learned under Dennis Turville, a well-respected Salt Lake climbing instructor. Stuart shares his observations on the Salt Lake climbing community of the late 1970s and 1980s, noting the intimacy of the community, while also pointing out the significant influence of a handful of climbers, including Merrill Bitter, Les Ellison, and Brian Smoot. He briefly describes the proliferation of new-route development in the Wasatch during his first decade in climbing. In collaboration with his brother Bret, Stuart published comprehensive guidebooks on climbing in the Wasatch Mountains. Stuart\u27s contributions as a first-ascensionist and co-author of Rock Climbing the Wasatch Range attest to his lasting impact on Utah climbing. Interview is part of the Outdoor Recreation History Project. Interviewer: Matt Driscol
On Moving Object Reconstruction By Moments
No full textRecent research using statistical moments to describe moving shapes through an image sequence has led to an interest in reconstructing moving shapes from their moment description. This paper discusses how the moment description through a series of frames might be used to predict missing or intermediate frames within a sequence. Additionally, this highlights generic aspects of moment reconstruction which rarely receive more than scant attention. The ideas presented use Zernike moments, although the general framework is applicable to all types of moments. We show how a moving human silhouette can be reconstructed with accuracy by interpolation from a moment history
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