To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biologi[...]

Multiple object tracking is a fundamental problem within computer vision and has a wide range of applications. Although well studied, it remains a difficult task especia[...]

Video game designers depend on artificial intelligence to drive player experience in modern games. Therefore it is critical that AI not only be fast and computationally i[...]

Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face[...]

Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most chall[...]

Historically, most virtual human character research focuses on realism/emotions, interaction with humans, and discourse. The majority of the spatial positioning of charac[...]

Biometric systems are widely deployed in governmental, military and civilian applications. There are a multitude of sensors and matching algorithms available from differe[...]

This thesis questions the use of the theory of affordance, a psychological theory of perception, as the basis for a symbolic design methodology in human-computer interact[...]

Observational data within Post Occupancy Evaluations (POE) has had the problem of being deemed as ‘unreliable’ due to the fact that it is not based on quantifiable, empir[...]

High energy impacts at joint locations often generate highly fragmented, or comminuted bone fractures. A leading current approach for treatment requires physicians qualit[...]