Effective Visual Tracking Using Multi-Block and Scale Space Based on Kernelized Correlation Filters

Effective Visual Tracking Using Multi-Block and Scale Space Based on Kernelized Correlation Filters

Accurate scale estimation and occlusion handling is a challenging problem in visual tracking. Recently, correlation filter-based trackers have shown impressive results in terms of accuracy, robustness, and speed. However, the model is not robust to scale variation and occlusion. In this paper, we ad...

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Bibliographic Details
Main Authors: Soowoong Jeong, Guisik Kim, Sangkeun Lee
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Sensors
Subjects:
computer vision
visual tracking
scale variation
correlation filter
multi-block method
adaptive learning rate
illumination variation
partial occlusion
Online Access:http://www.mdpi.com/1424-8220/17/3/433

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