Kyohei Niimura

Papers

Total Citations

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About

Kyohei Niimura is a researcher specializing in robot vision, human detection, and action recognition, with a focus on developing intelligent systems for safe autonomous robot navigation. His work centers on equipping mobile robots with camera-based perception capabilities that can identify humans and interpret their actions in real time — a critical challenge in the field of human-robot interaction and autonomous systems. Niimura's most notable contributions include the development of robot vision systems that simultaneously perform human detection and action recognition, addressing the computational demands of real-time processing through innovative algorithmic design. His 2018 paper on real-time human detection and action recognition has garnered 8 citations, making it his most impactful work to date, with follow-up research in 2019 and 2020 further refining these approaches. Notably, his 2019 work introduced optical flow combined with CNN classifiers to enhance the detection of moving humans, demonstrating his commitment to leveraging deep learning techniques for practical robotic applications. With a cumulative citation count of 18 across his key publications, Niimura's research makes meaningful contributions to the robotics and computer vision communities, particularly for those working on autonomous navigation systems that must operate safely alongside humans.