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This work explores a new way of fusing audio and visual information for audio-visual automatic speech recognition in the context of a large vocabulary application. Mouth shape information is extracted off-line and integrated into a speech recognition system using a phoneme-based Dempster-Shafer fusion approach. The fusion methodology assumes that the audio information about the phonemes is a precise...
MONNET is a visual surveillance system for tracking pedestrians over extended premises. The MONNET system is composed of intelligent nodes, which exchange information on the individually tracked pedestrians in an asynchronous manner. Each node in MONNET builds an appearance model for every observed pedestrian and compares it with models received from other nodes. The compact appearance models based...
This paper presents the status of a project targeting the development of content-based video indexing tools, to assist a human in the generation of descriptive video for the hard of seeing people. We describe three main elements: (1) the video content that is pertinent for computer-assisted descriptive video, (2) the system dataflow, based on a light plug-in architecture of an open-source video processing...
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