Pedestrian Detection Visualization with Drones20 Dec 2019
Pedestrian movement data based on drone footage. 20min time snippets taken at 60-65m height.
The tracking pipeline looks like this:
- Image alignment (ECC)
- Background subtraction (ViBe)
- Blob detection (OpenCVs Blobdetector)
- Blob tracking (SORT)
Given 2.7k 25fps video data that works quite well. Cyclists and pedestrians are detected as pedestrians alike and cars only create few false positives. All in all way faster than object detection networks and totally OK for a quick visualization.
Examples from Weimar:
Raw video with detection overlays (red: foreground, colored squares: distinct detections)