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Jih-Ching Chiu, Guan-Yi Lee, Chih-Yang Hsieh and Qing-You Lin
In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era,...
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Christine Dewi, Rung-Ching Chen, Yong-Cun Zhuang, Xiaoyi Jiang and Hui Yu
In recent years, there have been significant advances in deep learning and road marking recognition due to machine learning and artificial intelligence. Despite significant progress, it often relies heavily on unrepresentative datasets and limited situat...
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Christine Dewi and Henoch Juli Christanto
The human hand is involved in many computer vision tasks, such as hand posture estimation, hand movement identification, human activity analysis, and other similar tasks, in which hand detection is an important preprocessing step. It is still difficult t...
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Christine Dewi and Rung-Ching Chen
According to the World Health Organization (WHO), the COVID-19 coronavirus pandemic has resulted in a worldwide public health crisis. One effective method of protection is to use a mask in public places. Recent advances in object detection, which are bas...
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Tao Liu, Bo Pang, Lei Zhang, Wei Yang and Xiaoqiang Sun
Unmanned surface vehicles (USVs) have been extensively used in various dangerous maritime tasks. Vision-based sea surface object detection algorithms can improve the environment perception abilities of USVs. In recent years, the object detection algorith...
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Chuanyang Liu, Yiquan Wu, Jingjing Liu, Zuo Sun and Huajie Xu
Insulator fault detection is one of the essential tasks for high-voltage transmission lines? intelligent inspection. In this study, a modified model based on You Only Look Once (YOLO) is proposed for detecting insulator faults in aerial images with a com...
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