The IEEE Signal processing Magazine issued in March contains a paper "Radar Signal processing for elderly Fall Detection". This was probably the first survey paper of using radar techniques for human activity surveillance. The motivation of using radar for fall detection are that, the electromagnetic wave would have the so called Doppler effect Under Motions. Through capturing the Doppler effect signature signals using radar, signal processing techniques is used to extract the F Eatures and machine learning techniques is used for classification. It is evident, the combination of wavelet transformation and support vector machine leads to positive results.
There has been many times I heard people saying that intelligent surveillance is a sub-field of computer vision. However, I disagree with this idea, as I thought there should being many other types of sensors beyond vision that can is use D for surveillance purpose. The field intelligent surveillance should be developed as a independent discipline by incorporating many other techniques , such as the techniques from electromagnetics. When the system has more than one type of sensors, the fusion of sensing information can is relied on workflow management Systems.
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Review the article "Radar Signal processing for elderly Fall Detection"