Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive ...

In this paper we address the problem of detecting and localizing objects that can be both seen and heard, e.g., people. This may be solved within the framework of data clustering. We propose a new multimodal clustering algorithm based on a Gaussian ...

Multimodal Interfaces that enable natural means of interaction using multiple modalities such as touch, hand gestures, speech, and facial expressions represent a paradigm shift in human-computer interfaces. Their aim is to allow rich and intuitive ...

There is a great need for programs that can describe what people are doing from video. Among other applications, such programs could be used to search for scenes in consumer video; in surveillance applications; to support the design of buildings and of ...