CVPM 2021

The workshop recruits high-quality and original research works. It will highlight, but not be limited to, the following topics:

• Novel/improved apparatus/imaging devices for contactless sensing of physiological signals, including multi-spectral, hyper-spectral, time sequential, time-of-flight, depth, stereo vision, long-distance, portable, wearable (e.g. VR/AR glass), and consumer-grade cameras that are sensitive at visible, near-infrared, or thermal wavelengths; DC spectroscopy, CW/FMCW radar, WiFi (5G), etc.
• Novel/improved methods/algorithms for extracting various physiological signals/variables from imaging devices, including pulse rate, pulse rate variability, respiration rate, blood oxygen saturation, pulse transit time, pulse wave velocity, blood pressure, jugular venous pressure, atrial fibrillation, arterial stiffness, blood glucose, skin hydration, body temperature, etc.
• Novel/improved computer vision and machine learning methods/algorithms that assist camera-based health monitoring, such as deep learning based face/skin/human detection, motion analysis and tracking, clinical scene segmentation, human activity recognition, vital signs extraction, multi-modal fusion, physiological pattern recognition, algorithmic optimization, etc.
• Camera-based physiological measurements for various machine vision applications, such as affective computing and emotion/cognition recognition, psychological assessment (e.g. stress and depression), video surveillance in the wild, face anti-spoofing and liveness detection, biometric recognition, human-computer interaction for entertainment and marketing, etc.
• Clinical trials and studies focused on camera-based health monitoring in domains of Intensive Care Unit (ICU), Neonatal Intensive Care Unit (NICU), Coronary Care Unit (CCU), general medical wards, triage in emergency department, cardiac/respiratory gating for CT/MRI, sleep center, senior center, baby/elderly care at home. Applications such as sleep monitoring (e.g. apnea detection), bed exit/fall detection and prevention, gait analysis, fitness cardio-training, driver monitoring in automotive, tele-medicine, etc.
• Camera-based context monitoring and scene understanding for clinical/home-based healthcare applications.
• Camera-based activity monitoring and behavior analysis for clinical/home-based healthcare applications.
• Camera-based facial expression analysis for pain/discomfort/delirium detection of patient or newborn.
• Camera-based clinical workflow monitoring (e.g. surgery procedure, hand hygiene) and optimization.
• New public benchmarks, datasets and literature reviews for camera-based vital signs monitoring or activity monitoring.
• Multi-modal sensor fusion of camera and other wireless sensors (e.g. RF sensors, Wi-Fi, radar, acoustics) for contactless health monitoring.
• AI-assisted healthcare applications and big data analysis.
• Emergent applications and studies of computer vision in controlling COVID-19 (e.g. clinical trials on coronavirus patients, portable monitoring on mobile device, vital signs/skin temperature screening, social distancing alarms).