2^nd International Workshop on Computer Vision for Physiological Measurement (CVPM 2019)

October 27th - November 2nd , 2019, Seoul, South Korea

Call for Papers

The second International Workshop on Computer Vision for Physiological Measurement (CVPM) aims to unite the researchers working in this field, and those who can directly/indirectly benefit from and/or contribute to it (including computer vision and machine learning researchers, doctors/clinicians, medical experts and psychologists). Although targeted at a computer vision audience, and aimed at promoting advancements in methods, a unique aspect of this workshop is that it brings a rich set of compelling applications (e.g., from emotion recognition to medicine to face anti-spoofing and biometric security) that attracts audiences from fields beyond computer science.

Topics of Interest :

• Novel/improved methods/algorithms for extracting physiological signals/variables from videos, including pulse rate, pulse rate variability, respiration rate, blood oxygen, pulse transit time, blood pressure
  
• camera-based physiological monitoring systems
  
• imaging devices for sensing physiological signals from the human face and body
  
• Applications for video health monitoring in domains
  
• Camera-based physiological measurement for detecting affective, emotional, or cognitive states.
  
• Camera-based physiological measurement to assist video surveillance in-the-wild.
  
• Camera-based physiological measurement to assist human computer interaction, entertainment, gaming, and marketing.
  
• Living skin detection and human liveness detection.
  
• Face anti-spoofing and biometric recognition.
  
• New public benchmarks and datasets for camera-based physiological measurement.
  
• Using video semantics to interpret patient/neonatal actigraphy (behavior recognition and analysis).
  
• Vision based clinical/hospital environment monitoring.
  
• Using AI to interpret physiological measurement in ICU and NICU.
  
• AI-assisted big data analysis for healthcare applications.

Paper Submission

Submitted papers are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. ICCV guidelines and templates should be followed in the submission.

Papers must be submitted in PDF format using the CMT website.

Important Dates