Feature Detection and Tracking with the Dynamic and Active pixel Vision Sensor DAVIS

In this video, we demonstrate how an event camera can be used to track corner features on an object rotating at more than 1600 degrees per second. Since the features on the outer points of the object lie at about 65 pixels from the center of rotation, those features are tracked at speeds of more than 1800 pixels per second! We achieve this using a novel vision sensor, called DAVIS, which combines a standard camera and an event-based camera in the same pixel array. Features are detected in the first frame and then tracked asynchronously from the events. More info in the paper below. If you are interested to see how this can be used in an event-based visual odometry pipeline, please check out this other work: • Low-Latency Visual Odo...
Reference
D. Tedaldi, G. Gallego, E. Mueggler, D. Scaramuzza
Feature Detection and Tracking with the Dynamic and Active-pixel Vision Sensor (DAVIS)
International Conference on Event-Based Control, Communication and Signal Processing (EBCCSP), Krakow, 2016.
PDF: rpg.ifi.uzh.ch/...
Our research page on event based vision:
rpg.ifi.uzh.ch/...
For event-camera datasets and event camera simulator, see here: rpg.ifi.uzh.ch/...
Robotics and Perception Group, University of Zurich, 2016
rpg.ifi.uzh.ch/

[@jaswanth220]

Hi , can someone please recommend me a software or ide to work on DAVIS240c dataset/dvs dataset. For a simple motion sensing algorithm

[@user-xz7qq2vm3h]

Hi, do you know the software now, if you had could you told me. I will appreciate it.