Investigation of Event-Based Surfaces for High-Speed Detection, Unsupervised Feature Extraction, and Object Recognition
(The ATIS Planes dataset)
Saeed Afshar, Tara Julia Hamilton Jonathan Tapson, André van Schaik, and Gregory Cohen
Frontiers in Neuroscience
The ATIS Planes dataset is an event-based of free hand dropped airplane models. The recordings were captured using the same model of ATIS camera and the same acquisition software used in capturing the N-MNIST dataset. The airplanes were dropped free-hand, and from varying heights and distances from the camera. Four model airplanes were used, each made from steel and all painted uniform grey. The airplanes are models of a Mig-31, an F-117, a Su-24, and a Su-35, with wingspans of 9.1 cm, 7.5 cm, 10.3 cm, and 9.0 cm, respectively. The resolution is 304x240 pixels. There are 200 files per plane type making up 800 files in total. The models were dropped from a distance ranging from 120 cm to 160 cm above the ground and at a horizontal distance of 40 cm to 80 cm from the camera. This ensured that the airplanes passed rapidly through the field of view of the camera, with the planes crossing the field of view in an average of 242 ms ± 21 ms. No mechanisms were used to enforce consistency of the airplane drops, resulting in a wide range of velocities from 0 to greater than 1500 pixels per second.
- The Manuscript.
- The database in Matlab format.
- Read Me file describing the database