Thesis (M.S.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2004. / Includes bibliographical references (p. 75-79).

Thesis (Ph. D.)--Harvard University, 1968. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 1-5 (last group)).

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Video surveillance systems are playing an increasing role in preventing and investigating crime, protecting public safety, and safeguarding national security. In a typical surveillance installation, a human operator has to constantly monitor a large array of video feeds for suspicious behaviour. As the number of cameras increases, information overload makes manual surveillance increasingly difficult, adding to other confounding factors like human fatigue and boredom. The objective of an intelligent vision-based surveillance system is to automate the monitoring and event detection components of surveillance, alerting the operator only when unusual behaviour or other events of interest are detected. While most traditional methods for trajectory-based unusual behaviour detection rely on low-level trajectory features, this thesis improves a recently introduced approach that makes use of higher-level features of intentionality. Individuals in a scene are modelled as intentional agents instead of simply objects. Unusual behaviour detection then becomes a task of determining whether an agent's trajectory is explicable in terms of learned spatial goals. The proposed method extends the original goal-based approach in three ways: first, the spatial scene structure is learned in a training phase; second, a region transition model is learned to describe normal movement patterns between spatial regions; and third, classification of trajectories in progress is performed in a probabilistic framework using particle filtering. Experimental validation on three published third-party datasets demonstrates the validity of the proposed approach.

No description available.

Exercising the leg in a manner similar to running is theorized to have the potential effect of increasing performance and reducing occurrence of injuries in running athletes. Development of an exercise device that can help facilitate this method of specificity training could be beneficial to the sports community and should be investigated. Understanding the trajectory of the foot during the running gait is primary to further pursue this concept. 26 running athletes of varying characteristics participated in this study. Each subjects sex, age, weight, height, leg length, activity level and participation amount in their respective sport was recorded. Retro-reflective cameras captured the three-dimensional trajectory of each subjects right leg while running at speeds of 2, 3.8, 4.52 and 5.36 m/s for 10-15 seconds on a treadmill, respectively. The range of foot movement in each cardinal plane was determined for each speed. An ANCOVA revealed that leg length was the most determinate factor in trajectory range differences among subjects. Subjects were subsequently divided into quartiles based on leg length where further analysis revealed that foot displacement increased vertically and horizontally in the sagittal plane with increases in speed while trajectory in the third plane remained constant and substantially less in magnitude.

It can be shown that for the complete description of all the physical parameters in the flow behind an imtermediate strength unsteady shock, a knowledge of the particle trajectories within the flow is sufficient. This principle has been applied to determine the variation of the physical parameters throughout the length of a conventional shock tube. The particle trajectories were obtained by the high speed photography of cigarette smoke tracers, placed at 10 cm. intervals along the tube. By applying the conservation of mass equation to the particle trajectory data, the density variation was obtained throughout the flow including the rarefaction wave from the end of the compression chamber and behind the first reflected shock from the closed end of the expansion chamber. By means of the Rankine-Hugoniot relation, the pressures immediately behind the incident and reflected shock fronts were calculated, and by assuming isentropic flow between shocks along any particle trajectory, the complete pressure variation was determined. The temperature and local sound speed were subsequently calculated at all points and the particle velocities were determined from the time derivative of the particle trajectories. A complete mapping of all the parameters in the shock tube was thus obtained using a single photographic technique, which is simpler than previous methods. / Graduate / 0605

Thesis (Ph. D.)--Harvard University, 1968. / Typescript. Includes bibliographical references (leaves 1-5 (last group)). Also issued in print.

Thesis (Ph.D.)--University of Central Florida, 2008. / Adviser: Zhihua Qu. Includes bibliographical references (p. 117-121).

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1996. / Vita. Abstract. Includes bibliographical references (leaves 90-92). Also available via the Internet.