IEEE-TIP3227814 supplementary data

Citation Author(s):: Tianyi
Liang
Submitted by:: Baopu Li
Last updated:: Tue, 12/06/2022 - 20:49
DOI:: 10.21227/btz4-3919
Data Format:: *.csv; *.tdms; *.stl; *.mp4
Research Article Link:: A Closer Look at the Joint Training of Object Detection and Re-identification in Multi-Object Tracking
License:: Creative Commons Attribution

154 Views

Categories:: Artificial Intelligence
Keywords:: multiple object tracking on different benchmark datasets

0 ratings - Please login to submit your rating.

ACCESS DATASET CITE

Abstract

This is the sample tracking result of our AdaMOT algorithm.

Instructions:

This is the video demo of our final result.

Comments

This is the sample result of our AdaMOT published on TIP IEEE-TIP3227814 entitled with "A Closer Look at the Joint Training of Object Detection and Re-identification in Multi-Object Tracking"

Submitted by Baopu Li on Tue, 12/06/2022 - 20:51

Dataset Files

adamot_720p.mp4 (61.16 MB)

Datasets

Standard Dataset

IEEE-TIP3227814 supplementary data

Abstract

Comments

Dataset Files

QUESTIONS?