Challenge Tracks

Detailed participant instructions can be accessed here.

Participants can compete in one or more of the following three challenges:

Challenge Track 1: City-Scale Multi-Camera Vehicle Tracking

Teams will track vehicles across multiple cameras both at a single intersection and across multiple intersections spread out across a city. This helps traffic engineers understand journey times along entire corridors. The team with the highest accuracy in detecting vehicles that appear in multiple cameras will be declared the winner. Should multiple teams perform equally well, the one using the algorithm needing the least amount of manual supervision will be chosen the winner.

Challenge Track 2: City-Scale Multi-Camera Vehicle Re-Identification

Teams will perform vehicle re-identification based on vehicle crops from multiple cameras placed at multiple intersections. This helps traffic engineers understand journey times along entire corridors. The team with the highest accuracy in detecting vehicles that appear in multiple cameras will be declared the winner. In the event, that multiple teams perform equally well in the tracks above, the algorithm needing the least amount of manual supervision will be chosen the winner.

Challenge Track 3: Traffic Anomaly Detection

Participating teams will submit the anomalies detected based on video feeds available from multiple cameras at intersections and along highways. The team with the highest average precision in anomaly detection in the submitted anomalies will be chosen the winner.