TIR-MS: Thermal Infrared Mean-Shift for Robust Pedestrian Head Tracking in Dynamic Target and Background Variations

TIR-MS: Thermal Infrared Mean-Shift for Robust Pedestrian Head Tracking in Dynamic Target and Background Variations

Thermal infrared (TIR) pedestrian tracking is one of the major issues in computer vision. Mean-shift is a powerful and versatile non-parametric iterative algorithm for finding local maxima in probability distributions. In existing infrared data, and mean-shift-based tracking is generally based on th...

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Bibliographic Details
Main Authors: Sungmin Yun, Sungho Kim
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
pedestrian tracking
infrared
temperature
brightness
background contrast
radiometry
mean shift
Online Access:https://www.mdpi.com/2076-3417/9/15/3015

Internet

https://www.mdpi.com/2076-3417/9/15/3015

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