Video Processing for Human Behavioral Analysis Track


The 35th ACM Symposium on Applied Computing (SAC 2020)

March 30-April 3, 2020, Brno, Czech Republic


The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2020 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic.

The technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized for the first time in SAC 2020.

Actions, but also personality behavior recognition is starting to be explored in the computer vision research field. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health (e.g., support for mental disorders), security (e.g., forensics, preventive applications), human computer/machine/robot interaction (e.g., affective/interactive interfaces) and even entertainment (e.g., user-tailored systems). This track intend to focus in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior by applying recent or new video processing techniques.


The scope of VP-HBA includes, but is not limited to, the following topics:

  • Human behavior analysis from visual and multimodal information
  • Human action recognition
  • Information fusion for the analysis of human behavior
  • Crowds analysis in videos
  • Object Detection and Tracking
  • Elderly person monitoring systems
  • Gesture and Gait Analysis
  • Expression and emotion Recognition
  • Affective Computing
  • Applications of behavior analysis methods, e.g., medicine, sports, well-being, security, environment
  • Articulated body posture estimation
  • Multimodal non-verbal signals analysis
  • Interactions engagement modeling and detection
  • Spatio-temporal concept detection and recognition (trajectory analysis, etc.)
  • (Multi-Modal) Learning from Videos


Accepted papers will be published in the annual conference proceedings and will be included in the ACM digital library. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.

Track co-chairs

Donatello Conte - University of Tours, Computer Science Laboratory (LIFAT - EA 6300)

Jean-Yves Ramel - University of Tours, Computer Science Laboratory (LIFAT - EA 6300)

Raffaella Lanzarotti - University of Milano, Phuse Lab

Please, download and diffuse the Call for Papers