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Dohun Kim, Heegwang Kim, Yeongheon Mok and Joonki Paik
In spite of excellent performance of deep learning-based computer vision algorithms, they are not suitable for real-time surveillance to detect abnormal behavior because of very high computational complexity. In this paper, we propose a real-time surveil...
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Jinho Park, Heegwang Kim and Joonki Paik
In this paper, we present a coarse-to-fine convolutional neural network (CF-CNN) for learning multilabel classes. The basis of the proposed CF-CNN is a disjoint grouping method that first creates a class group with hierarchical association, and then assi...
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Jungsup Shin, Heegwang Kim, Dohun Kim and Joonki Paik
Object tracking has long been an active research topic in image processing and computer vision fields with various application areas. For practical applications, the object tracking technique should be not only accurate but also fast in a real-time strea...
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