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Xinwei Lyu, Xinjia Li, Yuexin Zhang and Wenlian Lu
The rapid expansion of e-commerce, particularly in the clothing sector, has led to a significant demand for an effective clothing industry. This study presents a novel two-stage image recognition method. Our approach distinctively combines human keypoint...
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Akriti Sharma, Ayaz Z. Ansari, Radhika Kakulavarapu, Mette H. Stensen, Michael A. Riegler and Hugo L. Hammer
Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, including the time duration betwee...
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Christine Dewi, Abbott Po Shun Chen and Henoch Juli Christanto
Hand detection is a key step in the pre-processing stage of many computer vision tasks because human hands are involved in the activity. Some examples of such tasks are hand posture estimation, hand gesture recognition, human activity analysis, and other...
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Yasunari Matsuzaka and Ryu Yashiro
Computer vision is a branch of computer science that studies how computers can ?see?. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the ...
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Yu-Hsiang Tsai, Yung-Jhe Yan, Meng-Hsin Hsiao, Tzu-Yi Yu and Mang Ou-Yang
In this study, an information fusion system displayed fusion information on a transparent display by considering the relationships among the display, background exhibit, and user?s gaze direction. We used an ARM-based field-programmable gate array (FPGA)...
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Endrowednes Kuantama, Avishkar Seth, Alice James and Yihao Zhang
The effectiveness of human security-based guard patrol systems often faces challenges related to the consistency of perimeter checks regarding timing and patterns. Some solutions use autonomous drones for monitoring assistance but primarily optimize thei...
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Mahmoud Elmezain, Majed M. Alwateer, Rasha El-Agamy, Elsayed Atlam and Hani M. Ibrahim
Automatic key gesture detection and recognition are difficult tasks in Human?Computer Interaction due to the need to spot the start and the end points of the gesture of interest. By integrating Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs),...
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Tajbia Karim, Zainal Rasyid Mahayuddin and Mohammad Kamrul Hasan
Two-dimensional object detection techniques can detect multiscale objects in images. However, they lack depth information. Three-dimensional object detection provides the location of the object in the image along with depth information. To provide depth ...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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Lesia Mochurad, Yaroslav Hladun, Yevgen Zasoba and Michal Gregus
One of the tasks of robotics is to develop a robot?s ability to perform specific actions for as long as possible without human assistance. One such step is to open different types of doors. This task is essential for any operation that involves moving a ...
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