Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments

Enhancement of Multi-Target Tracking Performance via Image Restoration and Face Embedding in Dynamic Environments

In this paper, we propose several methods to improve the performance of multiple object tracking (MOT), especially for humans, in dynamic environments such as robots and autonomous vehicles. The first method is to restore and re-detect unreliable results to improve the detection. The second is to re...

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Bibliographic Details
Main Authors: Ji Seong Kim, Doo Soo Chang, Yong Suk Choi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
computer vision
multiple object tracking
online object tracking
image restoration
data association
visual embedding
Online Access:https://www.mdpi.com/2076-3417/11/2/649

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