Leaderboard

Instructions

This page display the submited results for Leaderboards. For each submission, we display several main metrics in main table. For detailed information, more metrics, per-sequence results and visualisation (coming soon), please click submission name. For all tables, you can click headers to sort the results. Note you can download the submission zip file as well. Legends, metrics descriptions and reference are displayed after leaderboards table.

Additional Information Used

Symbol	Description
Individual Image	Method uses individual images from each camera
Stitched Image	Method uses stitched images combined from the individual cameras
Pointcloud	Method uses 3D pointcloud data
Online Tracking	Method does frame-by-frame processing with no lookahead
Offline Tracking	Method does not do in-order frame processing
Public Detections	Method uses publicly available detections
Private Detections	Method uses its own private detections

Evaluation Measures[1]

Measure	Better	Perfect	Description
mAP/AP	higher	100%	For each detected bounding box in a key-frame, a model should predict a set of individual action labels. We report the the precision of the prediction

Reference

The style and content of the Evaluation Measures section is reference from MOT Challenges.