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- W2768996724 abstract "This paper presented a model using object tracking techniques to categorize the activities of customers in the supermarket. Then, the number of customers, who were interested in the booth, were determined to evaluate the display efficiency. With the image obtained from the surveillance camera, the system can identify most of the objects entering the observation area, tracking them to obtain the trajectory and time of observation. Trajectory was segmented, and representative coordinates were used, thus using a support vector learning algorithm to classify customer activity including booth attendance and drop-in options or other activities. Also, this article proposed the improvements of the speed of object tracking algorithms in the case of tracking multiple objects at the same time. Experimentally, it found that the proposed speed improvements were significantly effective, averaging 2.8 times higher than the original, while accuracy was not changed. Data for detecting was collected from internet sources and surveillance camera data located at a large supermarket in Soc Trang province." @default.
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- W2768996724 date "2017-01-01" @default.
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- W2768996724 title "Ứng dụng kỹ thuật theo dõi đối tượng cho bài toán nhận dạng hành vi của khách hàng trong siêu thị" @default.
- W2768996724 doi "https://doi.org/10.22144/ctu.jsi.2017.001" @default.
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