PPS-D: Person-oriented Protection of Public Spaces Dataset

PPS-D is a comprehensive synthetic image and video dataset designed explicitly for the protection of public spaces. This dataset is compiled from a large number of video surveillance cameras that monitor different environments such as streets, squares, parks, railway stations, airports, car parks, shopping centres and industrial areas, as well as different weather and time conditions such as sun, clouds, night, rain, snow, etc. Each camera is strategically positioned to provide a realistic view of the most important areas in each scenario. All the environments and actors, including people, vehicles and objects, are entirely synthetic and created from scratch. The generated individuals are not based on any real or specific person.PPS-D emphasises object and event detection, with various simulations representing different events, all linked to human behaviour. The dataset includes scenarios ranging from everyday normality to more complex situations, such as abandoned objects, increasing crowd density and sudden panic caused by pedestrian or vehicle incidents. The diverse settings and realistic camera perspectives are designed to enhance algorithms for public safety and surveillance applications