Fifth International Workshop on Assistive Computer Vision and Robotics
Venice, Italy – October 28th, 2017

In the last decades, there has been a tremendous increase in demand for assistive technologies useful to overcome functional limitations of individuals. Novel tools have been successfully commercialised bringing the Computer Vision and Robotics research from theory to applications and then to market.

Assistive technologies provide a set of advanced tools that can improve the quality of life not only for disabled, patients and elderly but also for healthy people struggling with everyday actions. After a period of slow but steady progress, this scientific area seems to be mature for new research and application breakthroughs.

The rapid progress in the development of integrated micro-mechatronic and computer vision has boosted this process. The interest in this applied field is increasing due to the possibility to exploit advanced technologies coming from the results of traditional problems in Computer Vision (such as face analysis, tracking, detection and recognition, human behaviors analysis). However, many problems remain still open especially as regards environment perception and interaction of these technological tools with people.

The main scope of ACVR2017 is to bring together researchers from the diverse fields of engineering, computer science, social and bio-medical science who investigate in the context of Computer Vision and Robotics in order to discuss the current and next generation of Assistive Technologies.

The researchers will present their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available benchmark databases, the need of evaluation protocols and procedures in the context of Assistive Technologies.

Research papers are solicited in, but not limited to, the following area topics:

University Of Catania University of Southern California Consiglio Nazionale Ricerche Institute of Applied Sciences and Intelligent Systems University of California, San Diego
ACVR2017 / Contact: ACVR.workshop@gmail.com