Introduction to Mot16 02
Let's dive into the details surrounding Mot16 02. MOT demo created by implementing the NeurIPS 2019 paper, "muSSP: Efficient Min cost Flow Algorithm for Multi object Tracking".
Mot16 02 Comprehensive Overview
Multi-object tracking. MOT16 02 using YOLO + DEEP SORT..
The original video is from MOT Challenge: https://motchallenge.net/data/
Summary & Highlights for Mot16 02
- This video created around 10 minutes using GMMCP.
- MOT16-03
- Using the Hungarian Algorithm with Kalman Filter to track multiple objects. The original video is from MOT Challenge: ...
- MOT demo created by implementing the NeurIPS 2019 paper, "muSSP: Efficient Min cost Flow Algorithm for Multi object Tracking".
- MOT16 04 mp4 using dlib
That wraps up our extensive overview of Mot16 02.