Blind people navigate safely through a familiar room based on strong expectations about the location of objects. If something has been moved, added or removed, it can present a difficulty and potentially a danger. This paper reports a novel prototype vision-based monitoring application developed as part of research into supportive home environments. It uses ceiling-mounted cameras to monitor rooms in the home for significant changes and automatically generates spoken warnings when appropriate. Significant object-level changes are detected and characterized based on fused region-level change detection modules. These use complementary pixel-level change detectors to obtain a degree of invariance to illumination changes. Results obtained using realistic video data are presented.
|Title of host publication||Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics|
|Subtitle of host publication||The Hague; Netherlands; 10 October 2004 through 13 October 2004|
|Place of Publication||Piscataway, N.J.|
|Number of pages||6|
|Publication status||Published - 1 Jan 2004|