Human behavior can be observed and accurately analyzed by a complex sensor network, a system that could ultimately benefit public transportation, homeland security and crime prevention, reports a research team at the Indiana University School of Informatics and two universities in Japan.
The researchers evaluated a distributed sensor network they deployed in the JR Kyoto subway station in Japan as part of the Digital City Surveillance Project. Their study appears in the April-June issue of IEEE Multimedia.
They blanketed the station with a sensor network of 28 wide-view cameras, and developed a system that "learned" from a station operator to recognize what people were doing in the concourse. The system then audibly told operators about events like overcrowding so operators could respond promptly.
SOURCE: IU Media Relations
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