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In the literature, a solution comes through the use of multiple sensor channels.
Instead, we will analyze background subtraction in the large, focusing on different sensor channels, such as audio and infrared data sources, as well as a combination of multiple sensor channels, like audio video and infrared video.
Employing multiple sensor channels allows to solve this problem without relying on tracking techniques: that is, the idea is to enrich the BG model, in order to detect better FG entities, that is, entities that diverge from that model.
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The gating of each type 2 channel by multiple sensors made it more like real channels (relative to the "one-sensor" type 1 channel described above).
Or they could provide sensor channels for sophisticated chemistry.
In Section 3, we analyze the BG methods that operate on the sole visible optical (standard video) sensor channel, individuating groups of methods that employ a single monocular camera, and approaches where multiple cameras are utilized.
The invention includes multiple sensors, a microphone and cameras.
When you have multiple sensors giving conflicting information, which one do you defer to?
"A fusion of multiple sensors will most likely be necessary to get good performance in all conditions".
"The trend is to combine multiple sensors.
A multi-channel sensor system is hence applied in the signal acquisition and the blind source separation (BSS) technologies are employed to optimally process the information collected from multiple sensors.
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