| ABSTRACT |
The Product presents an innovative technique works to be characterized by an aerial platform as a robust method to monitor disaster area. Traffic Surveillance System (TSS), based on Detection and Early Warning (DEW) units, which is used to monitor the roads in preventing accidents at the same time finding the reason of the accidents. The use of a low-altitude platform to strengthen the communication system in a state of emergency as a result of disasters has been the main goal of the researchers. In this study, data process of transmitting between nodes network would be scrutinized. The node network was installed on the low-altitude platform LAP as well as those installed on the ground unites (GNs). In addition, this work focuses on object recognition and detection, which are important elements of computer vision fields. The main goal is to detect an object in streaming frames captured from a camera installed in GNs.The traffic surveillance system uses either background-foreground segmentation in combination with object tracking or analyzes long-term background changes in a statistical background model.
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