Evaluation on a Method of Detecting Suspicious Objects Using Time-series Images Taken by Passive and Active Imagers of W-band Radar

We are studying a method to detect suspicious objects carried by a person in his/her clothing using both passive and active imager images by W-band radar-based sensing technology. In order to improve the accuracy of suspicious object detection, in this paper, we propose a two-stage detection method using time-series images of a walking person, where first the presence or absence of suspicious objects is checked, then the identification of the object type is performed if high probability of suspicious object presence is detected in the first stage. According to the experiment, the proposed method is effective in terms of the detection accuracy compared with a method that only identifies the type of suspicious objects.