Scope
RGBD sensors, combining both video- and depth-based sensing capabilities, can be considered as enhanced vision-based devices since they provide additional depth data that can facilitate several 
applications, like the detection and understanding of human movements, actions and activities. The joint availability of synchronized video signals and depth measurement information, from easy-to-use and low-cost sensors, helps to improve the performance of Human Action Recognition (HAR) algorithms, making it easier to implement crucial processes such as the extraction of skeletal joints and human silhouette, with increased accuracy and reducing their dependence from shadows, light reflections and color similarity.
This TC aims to promote research contributions on RGBD sensors as measurement devices, focusing on the characterization and assessment of their performance in different operating conditions, from lab scenarios to more challenging deployment “in the wild”. How the quality and reliability of the measured data influence the performance of machine learning approaches devoted to HAR is of utmost interest, as well as the investigation of new and innovative research fields in which RGBD sensors may provide a basic contribution. New theoretical approaches, experimental tests, assessment in real-world use cases, and critical reviews are of interest.
Chair
Susanna Spinsante (SM ’13) is currently an Assistant Professor in Electrical and Electronic Measurements at the Information Engineering Department (DII) of Università Politecnica delle Marche. She received her PhD in Electronics and Telecommunications Engineering in 2005 from the same University, where she spent several years working in signal processing for telecommunications and video applications. Since 2012 her research interests are focused on the use of RGBD sensors for applications related to human monitoring, motion-related measurements, action recognition, and Active and Assisted Living. She co-authored more than 190 papers in international peer reviewed journals and conference proceedings. She currently leads the DII Research Unit in two co-funded projects, from AAL JP and MYBL JP, focused on the use of RGBD and wearable sensors for human lifelogging and action understanding. She is IEEE Senior Member since 2013, GMEE and CNIT member.