Neuromorphic Computing: Object Tracking using Event-based vision

In this video, we explore the fascinating world of object tracking using event-based vision. You'll learn about key techniques for detecting and tracking objects, such as DBSCAN for clustering, optical flow for motion estimation, and Kalman filters for predicting object trajectories.
We then dive into a practical project where these techniques are applied to track multiple pulsating light beacons in real-time. This project showcases the advantages of event-based cameras in scenarios like autonomous driving, sports tracking, and more.
Whether you're new to neuromorphic vision or looking to deepen your understanding, this video offers valuable insights and practical examples.
🔗 Learn more about the "FAMOUS" project and neuromorphic computing at fortiss: www.fortiss.or...
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