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A Research of CNN-based Object Detection for Multiple Object Tracking in Image  

Ahn, Hyochang (Department of Energy IT Engineering, Far East University)
Lee, Yong-Hwan (Department of Digital Contents, Wonkwang University)
Publication Information
Journal of the Semiconductor & Display Technology / v.18, no.3, 2019 , pp. 110-114 More about this Journal
Abstract
Recently, video monitoring system technology has been rapidly developed to monitor and respond quickly to various situations. In particular, computer vision and related research are being actively carried out to track objects in the video. This paper proposes an efficient multiple objects detection method based on convolutional neural network (CNN) for multiple objects tracking. The results of the experiment show that multiple objects can be detected and tracked in the video in the proposed method, and that our method is also good performance in complex environments.
Keywords
Object Detection; Object Tracking; Convolutional Neural Network(CNN); Machine Learning;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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