Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Jinlong Peng
Jinlong Peng
Changan Wang
Changan Wang
Fangbin Wan
Fangbin Wan
Yang Wu
Yang Wu
Yabiao Wang
Yabiao Wang

european conference on computer vision, pp. 145-161, 2020.

Cited by: 1|Bibtex|Views34
Other Links: arxiv.org|academic.microsoft.com

Abstract:

Existing Multiple-Object Tracking (MOT) methods either follow the tracking-by-detection paradigm to conduct object detection, feature extraction and data association separately, or have two of the three subtasks integrated to form a partially end-to-end solution. Going beyond these sub-optimal frameworks, we propose a simple online mode...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments