World's Best Scientists 2026 revealed!
Yasushi Yagi

Yasushi Yagi

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
52
Citations
12321
World Ranking
5036
National Ranking
60

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Yasushi Yagi is affiliated with Osaka University in Japan. Their research focuses primarily on areas intersecting Computer Science and Engineering, with particular emphasis on Computer Vision and Pattern Recognition, Biomedical Engineering, and Artificial Intelligence. The scope of their work covers a number of applied topics in these domains.

The scientist's main areas of study include:

  • Computer Science
  • Engineering

Their subfields of interest are:

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Endocrinology, Diabetes and Metabolism
  • Artificial Intelligence
  • Media Technology

Yagi's research covers a variety of topics, notably:

  • Gait Recognition and Analysis
  • Human Pose and Action Recognition
  • Diabetic Foot Ulcer Assessment and Management
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging
  • Hand Gesture Recognition Systems

Several recent papers illustrate the research themes pursued:

  • Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Action Recognition Using Kinematics Posture Feature on 3D Skeleton Joint Locations, 2021, Pattern Recognition Letters
  • Wearable Sensor-Based Gait Analysis for Age and Gender Estimation, 2020, Sensors
  • Occlusion-Aware Human Mesh Model-Based Gait Recognition, 2023, IEEE Transactions on Information Forensics and Security

Their frequent co-authors include:

  • Yasushi Makihara
  • Daigo Muramatsu
  • Tomoya Nakamura
  • Chi Xu
  • K. Aoki

Yagi's publications often appear in venues such as:

  • IEEE Access
  • arXiv (Cornell University)
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IEICE Transactions on Information and Systems
  • Pattern Recognition Letters

The research contributions combine approaches from biomedical engineering and computer vision, with applications including gait analysis, human pose estimation, and health monitoring technologies. Such interdisciplinary work spans both methodological development and applied studies within engineered systems and medical assessment tools.

Best Publications

  • Gait recognition using a view transformation model in the frequency domain

    Yasushi Makihara;Ryusuke Sagawa;Yasuhiro Mukaigawa;Tomio Echigo

  • GEINet: View-invariant gait recognition using a convolutional neural network

    Kohei Shiraga;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition

    H. Iwama;M. Okumura;Y. Makihara;Y. Yagi

  • Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition

    Noriko Takemura;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • Omnidirectional imaging with hyperboloidal projection

    K. Yamazawa;Y. Yagi;M. Yachida

  • Real-time omnidirectional image sensor (COPIS) for vision-guided navigation

    Y. Yagi;S. Kawato;S. Tsuji

  • Omnidirectional Sensing and Its Applications

    Yasushi Yagi

  • The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication

    Thanh Trung Ngo;Yasushi Makihara;Hajime Nagahara;Yasuhiro Mukaigawa

  • Map-based navigation for a mobile robot with omnidirectional image sensor COPIS

    Y. Yagi;Y. Nishizawa;M. Yachida

  • Panorama scene analysis with conic projection

    Y. Yagi;S. Kawato

  • The OU-ISIR Gait Database Comprising the Treadmill Dataset

    Yasushi Makihara;Hidetoshi Mannami;Akira Tsuji;Md. Altab Hossain;Md. Altab Hossain

  • Dynamic scene shape reconstruction using a single structured light pattern

    H. Hiroshi Kawasaki;R. Furukawa;R. Sagawa;Yasushi Yagi

  • Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking

    Junqiu Wang;Yasushi Yagi

  • Clothing-invariant gait identification using part-based clothing categorization and adaptive weight control

    Md. Altab Hossain;Yasushi Makihara;Junqiu Wang;Yasushi Yagi

  • On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition

    Noriko Takemura;Yasushi Makihara;Daigo Muramatsu;Tomio Echigo

  • Obstacle detection with omnidirectional image sensor HyperOmni Vision

    K. Yamazawa;Y. Yagi;M. Yachida

  • Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences

    Weizhi An;Shiqi Yu;Yasushi Makihara;Xinhui Wu

  • Gait-Based Person Recognition Using Arbitrary View Transformation Model

    Daigo Muramatsu;Akira Shiraishi;Yasushi Makihara;Md. Zasim Uddin

  • Dense 3D reconstruction method using a single pattern for fast moving object

    Ryusuke Sagawa;Yuichi Ota;Yasushi Yagi;Ryo Furukawa

  • Computer Vision – ACCV 2007

    Yasushi Yagi;Sing Bing Kang;In So Kweon;Hongbin Zha

Frequent Co-Authors

Yasushi Makihara
Yasushi Makihara Osaka University
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
Hongbin Zha
Hongbin Zha Peking University
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
In So Kweon
In So Kweon Korea Advanced Institute of Science and Technology
Yen-Wei Chen
Yen-Wei Chen Ritsumeikan University
Michael Brady
Michael Brady University of Oxford
Minoru Asada
Minoru Asada Osaka University
Ko Nishino
Ko Nishino Kyoto University

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