Brain Strategy Algorithm for Multiple Object Tracking Based on Merging Semantic Attributes and Appearance Features

Brain Strategy Algorithm for Multiple Object Tracking Based on Merging Semantic Attributes and Appearance Features

The human brain can effortlessly perform vision processes using the visual system, which helps solve multi-object tracking (MOT) problems. However, few algorithms simulate human strategies for solving MOT. Therefore, devising a method that simulates human activity in vision has become a good choice...

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Bibliographic Details
Main Authors: Mai S. Diab, Mostafa A. Elhosseini, Mohamed S. El-Sayed, Hesham A. Ali
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
multiple object tracking
data association
dataset
deep learning
semantic attribute
Online Access:https://www.mdpi.com/1424-8220/21/22/7604

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https://www.mdpi.com/1424-8220/21/22/7604

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