Thesis (Ph. D.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 90-95).

Thesis (Ph. D.)--University of California, San Diego, 1999. / Vita. Includes bibliographical references.

Thesis (M. Phil.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Vela, Patricio, Committee Member ; Tannenbaum, Allen, Committee Member ; Yezzi, Anthony, Committee Chair ; Turk, Greg, Committee Member ; Lanterman, Aaron, Committee Member.

Thesis (M.S. in psychology)--Washington State University, May 2007. / Includes bibliographical references (p. 19-21).

M.Sc. / MANTIS, which is the acronym for "Motion Analysis and Tracking Integrated System", was originally conceived as part of the Interactive Visual-Event Scheduling tool (IVIS). MANTIS is used as an interpreter of and to interface between the vision system, which monitors the visual objects on the shop floor, and the physical-environment manager. MANTIS uses object behaviour models in order to validate the motion of each object and to identify exceptions in this regard. The physical-environment manager then further evaluates this information in relation to other data which it collects and passes on to the Dynamic Scheduling System. It also tracks the objects on the shop floor and uses this information to generate a kinematics model for each object which, in turn, is used to track the object, as well as to predict its position in the next frame. The main reasons for the predictions are to provide the vision system with pertinent information which it can use in order to improve its efficiency and accuracy by reducing its search space and providing additional information to be used in weighing close matches of objects up against each other. In order to accomplish all this, MANTIS needs to define the behavior model of an object and the valid margins for each model. These models are then used for the validation, tracking and prediction of each object's motion on the shop floor, thereby providing real-time feedback to the scheduling system, which then uses this data to maintain its Master Production Schedule.

The problem of this study was to determine if athletes representative of open skills differ from athletes representative of closed skills in the perceptual style of field independence. It was hypothesized that differences in perceptual style exist between athletes of open and closed skills, and between athletes and non-athletes. This study also investigated perceptual differences: between advanced athletes and less-advanced athletes; between basketball positional groups; and between different sports of hockey, basketball, swimming, and gymnastics. A total of sixty-one male university students were tested for field independence by use of the rod and frame test (RFT) and the group embedded figures test (GEFT), as well as tested on a visual search test (VST). Scores from the tests were placed into groups, each group having a mean and standard deviation score for each of the tests. RFT mean scores were computed for absolute error (AE), variable error (VE), and constant error (CE). Correct numbers identified and numbers missed were analyzed from the VST. The GEFT score was the number of correctly identified figures. F-ratios for multivariate tests of equality of mean vectors were computed for the groups: Open-Closed; Athlete-Non-athlete; Advanced-Less-advanced; Outside-Inside basketball positional groups; Hockey-Basketball; and Gymnastic-Swimming. Results from this study showed:(1)Open skill athletes (Hockey and Basketball players) do not differ in perceptual style from closed skill athletes (Gymnasts and Swimmers); (2) athletes do not differ significantly from non-athletes in measures of field independence; (3) individual univariate tests between the variables from the GEFT and RFT (AE, VE) showed that the basketball group was more field independent than the hockey group; and (4) the amount of shared variance between the two tests of field independence (RFT and GEFT) was low (less than 1270) and limits the above conclusions. / Education, Faculty of / Curriculum and Pedagogy (EDCP), Department of / Graduate

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Yes / Background: Human vision is vital in determining our interaction with the outside world. In this study we characterize our ability to judge changes in the direction of motion of objects-a common task which can allow us either to intercept moving objects, or else avoid them if they pose a threat. Methodology/Principal Findings: Observers were presented with objects which moved across a computer monitor on a linear path until the midline, at which point they changed their direction of motion, and observers were required to judge the direction of change. In keeping with the variety of objects we encounter in the real world, we varied characteristics of the moving stimuli such as velocity, extent of motion path and the object size. Furthermore, we compared performance for moving objects with the ability of observers to detect a deviation in a line which formed the static trace of the motion path, since it has been suggested that a form of static memory trace may form the basis for these types of judgment. The static line judgments were well described by a 'scale invariant' model in which any two stimuli which possess the same two-dimensional geometry (length/width) result in the same level of performance. Performance for the moving objects was entirely different. Irrespective of the path length, object size or velocity of motion, path deviation thresholds depended simply upon the duration of the motion path in seconds. Conclusions/Significance: Human vision has long been known to integrate information across space in order to solve spatial tasks such as judgment of orientation or position. Here we demonstrate an intriguing mechanism which integrates direction information across time in order to optimize the judgment of path deviation for moving objects. / Wellcome Trust, Leverhulme Trust, NIH