Bibliografie

(eng): The talk falls into the area of visual Artificial Intelligence (AI), particularly to image recognition by deep networks. In AI applications such as surveillance systems, autonomous robots, unmanned vehicles, drones, etc., cameras and other visual sensors form the “eyes” of the system while image recognition algorithms substitute the visual cortex of the brain. The key requirement is a continuous (possibly real-time) analysis of the visual field and, in that way, preparing the basis for decision and next action planning. The visual analysis may comprise scene segmentation, detection of objects and persons of interest, recognition of their identity and their behaviour, and even prediction of their next actions.