Traditional methods for creating classifiers have two main disadvantages. Firstly, it is time
consuming to acquire, or manually annotate, the training collection. Secondly, the data on …

This paper presents an algorithm for the classification of head pose in low resolution video.
Invariance to skin, hair and background colours is achieved by classifying using an …

Object appearance models are a consequence of illumination, viewing direction, camera
intrinsics, and other conditions that are specific to a particular camera. As a result, a model …

This paper describes a framework for detecting unusual events in surveillance videos. Most
surveillance systems consist of multiple video streams, but traditional event detection …

As video contents continue to expand, it is increasingly important to properly annotate
videos for effective search, mining and retrieval purposes. While the idea of annotating …

Object tracking in video sequences is an important task in many applications such as video
surveillance, traffic monitoring, marketing and sport analysis. In order to enhance these …

This thesis is concerned with the automatic generation of natural language descriptions that
can be used for video indexing, retrieval and summarization applications. It is a step ahead …

This thesis describes the development of methods for automatically obtaining coarse gaze
direction estimates for pedestrians in surveillance video. Gaze direction estimates are …

This chapter presents a Continuous Movement Recognition (CMR) framework which forms a
basis for segmenting continuous human motion to recognize actions as demonstrated …

This thesis describes work on fusing data from multiple sources of information, and focuses
on two main areas: adaptive detection and adaptive object tracking in automated vision …