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This paper presents a novel real-time tracking system capable of improving body pose estimation algorithms in distributed camera networks. The first stage of our approach introduces a linear Kalman filter operating at the body joints level,…

Computer Vision and Pattern Recognition · Computer Science 2019-07-30 Alessandro Malaguti , Marco Carraro , Mattia Guidolin , Luca Tagliapietra , Emanuele Menegatti , Stefano Ghidoni

We present a novel non-rigid reconstruction method using a moving RGB-D camera. Current approaches use only non-rigid part of the scene and completely ignore the rigid background. Non-rigid parts often lack sufficient geometric and…

Computer Vision and Pattern Recognition · Computer Science 2018-05-31 Shafeeq Elanattil , Peyman Moghadam , Sridha Sridharan , Clinton Fookes , Mark Cox

Analyzing human motion is an active research area, with various applications. In this work, we focus on human motion analysis in the context of physical rehabilitation using a robot coach system. Computer-aided assessment of physical…

Human-Computer Interaction · Computer Science 2024-08-07 Aleksa Marusic , Louis Annabi , Sao Msi Nguyen , Adriana Tapus

Volumetric (4D) performance capture is fundamental for AR/VR content generation. Whereas previous work in 4D performance capture has shown impressive results in studio settings, the technology is still far from being accessible to a typical…

This study evaluates the agreement of marker-based and markerless (OpenCap) motion capture systems in assessing joint kinematics and kinetics during cycling. Markerless systems, such as OpenCap, offer the advantage of capturing natural…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Reza Kakavand , Reza Ahmadi , Atousa Parsaei , W. Brent Edwards , Amin Komeili

In this paper, we introduce a method for reconstructing 3D humans from a single image using a biomechanically accurate skeleton model. To achieve this, we train a transformer that takes an image as input and estimates the parameters of the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Yan Xia , Xiaowei Zhou , Etienne Vouga , Qixing Huang , Georgios Pavlakos

This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of human performance using a moving RGB-D camera. 3D reconstruction of marker-less human performance is a challenging problem due to the large…

Computer Vision and Pattern Recognition · Computer Science 2018-10-10 Shafeeq Elanattil , Peyman Moghadam , Simon Denman , Sridha Sridharan , Clinton Fookes

We present a method for the real-time estimation of the full 3D pose of one or more human hands using a single commodity RGB camera. Recent work in the area has displayed impressive progress using RGBD input. However, since the introduction…

Computer Vision and Pattern Recognition · Computer Science 2017-12-12 Paschalis Panteleris , Iason Oikonomidis , Antonis Argyros

In conventional 2D DCE-US, motion correction algorithms take advantage of accompanying side-by-side anatomical Bmode images that contain time-stable features. However, current commercial models of 3D DCE-US do not provide side-by-side Bmode…

Image and Video Processing · Electrical Eng. & Systems 2020-10-06 Jia-Shu Chen , Maged Goubran Ph. D. , Gaeun Kim , Jurgen K. Willmann M. D. , Michael Zeineh M. D. , Ph. D. , Dimitre Hristov Ph. D. , Ahmed El Kaffas Ph. D

Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives. 3D scanning and…

Computer Vision and Pattern Recognition · Computer Science 2017-06-21 Rene Lacher , Francisco Vasconcelos , David Bishop , Norman Williams , Mohammed Keshtgar , David Hawkes , John Hipwell , Danail Stoyanov

Chronic wound monitoring and management require accurate and efficient wound measurement methods. This paper presents a fast, non-invasive 3D wound measurement algorithm based on RGB-D imaging. The method combines RGB-D odometry with…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Lena Harkämper , Leo Lebrat , David Ahmedt-Aristizabal , Olivier Salvado , Mattias Heinrich , Rodrigo Santa Cruz

While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use contexts. To allow the development and assessment of physical…

Machine Learning · Computer Science 2025-01-14 Sao Mai Nguyen , Maxime Devanne , Olivier Remy-Neris , Mathieu Lempereur , André Thepaut

In recent years the NHS has been having increased difficulty seeing all low-risk patients, this includes but not limited to suspected osteoarthritis (OA) patients. To help address the increased waiting lists and shortages of staff, we…

Computer Vision and Pattern Recognition · Computer Science 2023-04-27 Kai Armstrong , Lei Zhang , Yan Wen , Alexander P. Willmott , Paul Lee , Xujioing Ye

Accurate hand and finger tracking from video has significant clinical applications for monitoring activities of daily living and measuring range of motion, yet monocular video approaches for obtaining hand biomechanics remain…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 R. James Cotton , Pouyan Firouzabadi , Wendy Murray

Background. Joint range of motion (ROM) is an important quantitative measure for physical therapy. Commonly relying on a goniometer, accurate and reliable ROM measurement requires extensive training and practice. This, in turn, imposes a…

Human-Computer Interaction · Computer Science 2023-10-12 Xiaoye Michael Wang , Derek T. Smith , Qin Zhu

Objective: To test automated in vivo estimation of active and passive skeletal muscle states using ultrasonic imaging. Background: Current technology (electromyography, dynamometry, shear wave imaging) provides no general, non-invasive…

Image and Video Processing · Electrical Eng. & Systems 2019-07-04 Ryan J. Cunningham , Ian D. Loram

Advances in multiview markerless motion capture (MMMC) promise high-quality movement analysis for clinical practice and research. While prior validation studies show MMMC performs well on average, they do not provide what is needed in…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 R. James Cotton , Fabian Sinz

Anterior cruciate ligament (ACL) reconstruction necessitates months of rehabilitation, during which a clinician evaluates whether a patient is ready to return to sports or occupation. Due to their time- and cost-intensive nature, these…

In recent years, the research of rehabilitation robot technology has become a hotspot in the field of rehabilitation medicine engineering and robotics. To assist active rehabilitation in patients with unilateral lower extremity injury, we…

Robotics · Computer Science 2022-05-20 Zhaowen Shao , Jun Li , Lingtao Yu

Quantifying human movement (kinematics) and musculoskeletal forces (kinetics) at scale, such as estimating quadriceps force during a sit-to-stand movement, could transform prediction, treatment, and monitoring of mobility-related…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Selim Gilon , Emily Y. Miller , Scott D. Uhlrich