Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight

Color Feature-Based Object Tracking through Particle Swarm Optimization with Improved Inertia Weight

This paper presents a particle swarm tracking algorithm with improved inertia weight based on color features. The weighted color histogram is used as the target feature to reduce the contribution of target edge pixels in the target feature, which makes the algorithm insensitive to the target non-rig...

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Bibliographic Details
Main Authors: Siqiu Guo, Tao Zhang, Yulong Song, Feng Qian
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Sensors
Subjects:
object tracking
particle swarm optimization
particle maturity
inertia weight
color feature
Online Access:http://www.mdpi.com/1424-8220/18/4/1292

Internet

http://www.mdpi.com/1424-8220/18/4/1292

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