A Sensor Network for Event Retrieval in a Home Like Ubiquitous Environment
We present the current status of a system based on a network of sensors for event retrieval from a home like environment. A large number of cameras, microphones and pressure based floor sensors are used for continuous data capture. The data are analyzed independently and the results recorded in a central database, where they are combined for efficient retrieval and summarization of the video and audio data. We describe the detection of basic actions, events, and faces using image analysis. The users can query the system interactively to retrieve video, audio, and key frames corresponding to events. We report results of performance evaluations of the algorithms and discuss issues related to sensing, analysis and retrieval of data.