TrackFormer: Revolutionizing Multi-Object Tracking with Transformers πŸš€

Discover how TrackFormer leverages transformer technology to enhance multi-object tracking in videos, building on DETR's success for more accurate and efficient results.

TrackFormer: Revolutionizing Multi-Object Tracking with Transformers πŸš€
Soroush Mehraban
7.2K views β€’ May 20, 2023
TrackFormer: Revolutionizing Multi-Object Tracking with Transformers πŸš€

About this video

Following DETR's approach for object detection using transformers, TrackFormer employs them for multi-object tracking given an input video. This has the potential to be beneficial in surveillance, autonomous vehicles, sports analysis, and other applications. In this YouTube video, I present how DETR detects objects and how TrackFormer extends the idea for the task of multi-object tracking.

Paper link: https://arxiv.org/abs/2101.02702

Table of Content:
00:00 Introduction
00:15 Previous Attempts
02:17 DETR
08:07 TrackFormer
13:47 Bipartite Matching
21:51 Set Prediction Loss
23:31 Track Augmentation
26:39 Result

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Video Information

Views

7.2K

Likes

170

Duration

28:40

Published

May 20, 2023

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