World's Best Scientists 2026 revealed!
Yasushi Makihara

Yasushi Makihara

D-Index & Metrics

Computer Science

D-Index
40
Citations
6764
World Ranking
9309
National Ranking
134

Overview

Yasushi Makihara is affiliated with Osaka University in Japan, focusing primarily on research within Computer Science and Engineering. Their work has a significant emphasis on subfields such as Computer Vision and Pattern Recognition, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Media Technology, and Artificial Intelligence.

The main topics addressed in their research include:

  • 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
  • Hand Gesture Recognition Systems
  • Optical Measurement and Interference Techniques

Makihara has contributed extensively to scientific literature with publications in key venues, including:

  • IEEE Access
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IEICE Transactions on Information and Systems
  • Pattern Recognition Letters
  • Pattern Recognition

Frequent collaborators in Makihara's research include Yasushi Yagi, Daigo Muramatsu, Chi Xu, Xiang Li, and Tomoya Nakamura.

Some recent publications from Makihara's contributions are:

  • 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

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

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

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

  • The OU-ISIR Gait Database Comprising the Treadmill Dataset

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

  • 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

  • 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

  • End-to-End Model-Based Gait Recognition

    Xiang Li;Xiang Li;Yasushi Makihara;Chi Xu;Chi Xu;Yasushi Yagi

  • Gait analysis of gender and age using a large-scale multi-view gait database

    Yasushi Makihara;Hidetoshi Mannami;Yasushi Yagi

  • Gait Verification System for Criminal Investigation

    Haruyuki Iwama;Daigo Muramatsu;Yasushi Makihara;Yasushi Yagi

  • Similar gait action recognition using an inertial sensor

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

  • View Transformation Model Incorporating Quality Measures for Cross-View Gait Recognition

    Daigo Muramatsu;Yasushi Makihara;Yasushi Yagi

  • Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features

    Xiang Li;Yasushi Makihara;Chi Xu;Yasushi Yagi

  • Silhouette transformation based on walking speed for gait identification

    Akira Tsuji;Yasushi Makihara;Yasushi Yagi

  • Gait-based age estimation using a whole-generation gait database

    Yasushi Makihara;Mayu Okumura;Haruyuki Iwama;Yasushi Yagi

  • Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks

    Chi Xu;Yasushi Makihara;Xiang Li;Yasushi Yagi

  • Object recognition supported by user interaction for service robots

    Y. Makihara;M. Takizawa;Y. Shirai;J. Miura

  • Inverse Dynamics for Action Recognition

    Al Mansur;Yasushi Makihara;Yasushi Yagi

  • The OU-ISIR Gait Database Comprising the Treadmill Dataset (IPSJ Transactions on Computer Vision and Applications Vol.4)

    Yasushi Makihara;Hidetoshi Mannami;Akira Tsuji

Frequent Co-Authors

Yasushi Yagi
Yasushi Yagi Osaka University
Yoshiaki Shirai
Yoshiaki Shirai Ritsumeikan University
Jun Miura
Jun Miura Toyohashi University of Technology
Hiroaki Kazui
Hiroaki Kazui Kōchi University
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
John N. Carter
John N. Carter University of Southampton
Ko Nishino
Ko Nishino Kyoto University
Masatoshi Takeda
Masatoshi Takeda Izumi University
Masashi Shiraishi
Masashi Shiraishi Kyoto University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up a variety of flexible and rewarding educational routes, especially through online programs. For those seeking a fast track to employment, there are quick certifications that pay well in IT and tech that can be completed in a few months. These certifications can help beginners or professionals upskill quickly for high-demand roles.

If you're ready to advance your education, consider one of the quickest masters degree online programs. These allow students to earn a master's credential in computer science or related fields in as little as 12-18 months, often while working.

Looking for degrees with strong job market value? Explore the most useful masters degrees to identify in-demand concentrations, such as data science, cybersecurity, or artificial intelligence.

For those starting their educational journey, associate's degree online programs offer a practical pathway to foundational knowledge and entry-level tech jobs. These can also serve as a stepping stone to further studies in computer science.

Best Scientists Citing Yasushi Makihara

Trending Scientists