Paul Chippendale

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This paper focuses on the integration of acoustic and visual information for people tracking. The system presented relies on a proba-bilistic framework within which information from multiple sources is integrated at an intermediate stage. An advantage of the method proposed is that of using a generative approach which supports easy and robust integration of(More)
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional, descriptive appearance model which features (i) a 3D shape model assembled from simple body part elements and (ii) a fast while still reliable rendering procedure developed on a(More)
This paper describes a real-time system developed for the derivation of low-level visual cues targeted at the recognition of simple hand, head and body gestures. A novel, adaptive background subtraction technique is presented together with a tool for monitoring repetitive movements, e.g. fidgeting. To monitor subtle body movements in an unconstrained(More)
This paper presents a system to create a spatiotemporal attractiveness GIS layer for mountainous areas brought about by the implementation of novel image processing and pattern matching algorithms. We utilize the freely available Digital Terrain Model of the planet provided by NASA [1] to generate a three-dimensional synthetic model around a viewer " s(More)
Smart homes for the aging population have recently started attracting the attention of the research community. One of the problems of interest is this of monitoring the activities of daily living (ADLs) of the elderly aiming at their protection and well-being. In this work, we present our initial efforts to automatically recognize ADLs using multimodal(More)