The goal of SCIBA (Smart Cameras for Intelligent Behavior Analysis) is to develop robust techniques for the recognition of unexpected behavior of crowds and individuals in complex situations. The goal encloses the following aims: a. Combine statistical features with tracking of individuals. Statistical features are more robust for a global decision of unexpected behavior with … Continue reading SCIBA →

Humans are dealing with 3D object detection and recognition in their everyday life. In computer vision applications, 3D information is often gathered by using multiple cameras. When multiple cameras having an overlapping view and a wide baseline are used it is not possible to reconstruct an observed object based on corresponding points because such features … Continue reading CAPRI →