Thesis (Ph.D.)--University of Texas at Dallas, 2007. / Includes vita. Includes bibliographical references (leaves 70-73)

Thesis (B.A. (Hons.)) -- University of Adelaide, Dept. of Psychology, 1970.

Thesis (Ph. D.)--University of Louisville, 2004. / Department of Psychological and Brain Sciences. Vita. "December 2004." Includes bibliographical references (leaves 224-232).

Thesis (M.A.)--University of Wisconsin--Madison, 1969. / eContent provider-neutral record in process. Description based on print version record.

The huge number of cctv cameras and security applications places increasing requirements on automatic visual tracking and behaviour classification systems. The best working example of such a tracker is the human visual system (hvs) which can flawlessly detect, track and understand almost any object or event. The research described in this thesis uses lessons learnt from studies of the hvs to develop a novel approach for computerbased visual tracking. In this approach, initial detection of moving objects is achieved using a new motion distillation paradigm which employs spatio-temporal wavelet decomposition of video. The method is shown to be more robust than traditional background modelling techniques while being computationally less expensive. As with the hvs, the approach uses a dual-channel tracking architecture to perform tracking. The motion channel, generated through motion distillation, handles object detection and initialises tracking. The form channel is used to resolve tracking ambiguities and occlusions. Qualitative and quantitative tracking results illustrate the advantages of this approach. This thesis also describes a new approach to the task of ob- 4 ject (e.G. Human) behaviour analysis - a subject which is of great importance, yet which is still an under-researched aspect of visual tracking. In the work described here, objects are categorised into vehicles, pedestrians, runners, groups and unknown pedestrian behaviour.

Visual images from the two eyes are transmitted to the brain. Because the eyes are horizontally separated, there is a horizontal disparity between the two images. The amount of disparity between the images of a given point depends on the distance of that point from the viewer's point of fixation. A natural visual environment contains surfaces at many different depths. Therefore, the brain must process a spatial distribution of disparities. How are these disparities spatially put together? Brief (about 200 msec) static Cyclopean random-dot stereograms were used as stimuli for vergence and depth discrimination to answer this question. The results indicated a large averaging region for vergence, and a smaller pooling region for depth discrimination. Vergence responded to the mean disparity of two transparent planes. When a disparate target was present in a fixation plane surround, vergence improved as target size was increased, with a saturation at 3-6 degrees. Depth discrimination thresholds improved with target size, reaching a minimum at 1-3 degrees, but increased for larger targets. Depth discrimination showed a dependence on the extent of a disparity pedestal surrounding the target, consistent with vergence facilitation. Vergence might, therefore, implement a coarse-to-fine reduction in binocular matching noise. Interocular decorrelation can be considered as multiple chance matches at different disparities. The spatial pooling limits found for disparity were replicated when interocular decorrelation was discriminated. The disparity of the random dots also influenced the apparent horizontal. alignment of neighbouring monocular lines. This finding suggests that disparity averaging takes place at an early stage of visual processing. The following possible explanations were considered: 1) Disparities are detected in different spatial frequency channels (Marr and Poggio, 1979). 2) Second-order luminance patterns are matched between the two eyes using non-linear channels. 3) Secondary disparity filters process disparities extracted from linear filters.

Thesis (Ph. D.)--University of California, San Diego, 1997. / Vita. Includes bibliographical references (leaves 133-139).

Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2005. / Randall W. Engle, Ph.D., Committee Member ; Paul M. Corballis, Ph.D., Committee Chair ; Daniel H. Spieler, Ph.D., Committee Member. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1970. / Typescript. Vita. Includes bibliographical references.

Thesis (B.Psy.Sc.(Hons.)) - University of Queensland, / Includes bibliography.