TrackFormer: Revolutionizing Multi-Object Tracking with Transformers π
Discover how TrackFormer leverages transformer technology to enhance multi-object tracking in videos, building on DETR's success for more accurate and efficient results.

Soroush Mehraban
7.2K views β’ May 20, 2023

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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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
Icon made by Freepik from flaticon.com
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Video Information
Views
7.2K
Likes
170
Duration
28:40
Published
May 20, 2023
User Reviews
4.6
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