PETS 2015: Datasets and challenge
Longzhen Li, Tahir Habib Nawaz, James M. Ferryman · 2015
This paper presents the two datasets (ARENA and P5) and the challenge that form a part of the PETS 2015 workshop. The datasets consist of scenarios recorded by using multiple visual and thermal sensors. The scenarios in ARENA dataset involve different staged activities around a parked vehicle in a parking lot in UK and those in P5 dataset involve different staged activities around the perimeter of a nuclear power plant in Sweden. The scenarios of each dataset are grouped into `Normal', `Warning' and `Alarm' categories. The Challenge specifically includes tasks that account for different steps in a video understanding system: Low-Level Video Analysis (object detection and tracking), Mid-Level Video Analysis (`atomic' event detection) and High-Level Video Analysis (`complex' event detection). The evaluation methodology used for the Challenge includes well-established measures.