Explainable Algorithms for Intelligent Vision Systems

Intelligent Vision Systems, which are systems able to automatically process visual inputs such as raw still pictures or live video feeds, whatever they are equipped with camera(s) or directly access image databases, have become ubiquitous in our Society. Indeed, they can be found in a multitude of real-world applications such as video surveillance, health services, companion robots, etc. Therefore, such intelligent vision systems must be both efficient and ethical. In this talk, developed solutions and algorithms based on explainable artificial intelligence and transparent computer vision approaches are presented.