Compressive tracking via oversaturated sub‐region classifiers

Compressive tracking via oversaturated sub‐region classifiers

This study proposed a tracking algorithm based on oversaturated sub‐region classifiers. Compared with the compressive tracking (CT), the tracker can reduce the influence of occlusion and improve the stability and accuracy of tracking result. First, the target region is divided into oversaturated sub...

Full description

Bibliographic Details
Main Authors: Qiuping Zhu, Jia Yan, Dexiang Deng
Format: Article
Language:English
Published: Wiley 2013-12-01
Series:IET Computer Vision
Subjects:
video processing
CT
antiocclusion ability
candidate position distribution density
candidate target position
target region
Online Access:https://doi.org/10.1049/iet-cvi.2012.0248

Internet

https://doi.org/10.1049/iet-cvi.2012.0248

Similar Items