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Moving Target Detection based on Frame Subtraction and Morphological filter with Drone Imaging  

Lee, Min-Hyuck (School of Computer and Communication Eng., Daegu University)
Yeom, SeokWon (School of Computer and Communication Eng., Daegu University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.19, no.4, 2018 , pp. 192-198 More about this Journal
Abstract
Recently, the use of drone has been increasing rapidly in many ways. A drone can capture remote objects efficiently so it is suitable for surveillance and security systems. This paper discusses three methods for detecting moving vehicles using a drone. We compare three target detection methods using a background frame, preceding frames, or moving average frames. They are subtracted from a current frame. After the frame subtraction, morphological filters are applied to increase the detection rate and reduce the false alarm rate. In addition, the false alarm region is removed based on the true size of targets. In the experiments, three moving vehicles were captured by a drone, and the detection rate and the false alarm rate were obtained by three different methods and the results are compared.
Keywords
Drone Imaging; Object Detection; Frame Subtraction; Morphological Filtering; Video Surveillance;
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Times Cited By KSCI : 2  (Citation Analysis)
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