Browsing by Author "Chang, Ssu-Yuan"
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Item type:Item, A Multiple Vehicle Tracking and Counting Method and its Realization on an Embedded System with a Surveillance Camera(2018-01-01) ;Hsu, Yi-Hsuan ;Chang, Ssu-Yuan ;Guo, Jiun-In ;電子工程學系及電子研究所Department of Electronics Engineering and Institute of ElectronicsThis paper proposes a tracking-by-detection method with a weighted scoring mechanism to associate the trackers and the detection results for accurate tracking and counting vehicles in a surveillance application. For the vehicle detection, the proposed method uses our robust PVA-lite deep learning model to detect vehicles. The experimental results show that the proposed method can achieve more than 95% in the average counting accuracy.