An Improved Fast Compressive Tracking Algorithm Based on Online Random Forest Classifier
The fast compressive tracking (FCT) algorithm is a simple and efficient algorithm, which is proposed in recent years. But, it is difficult to deal with the factors such as occlusion, appearance changes, pose variation, etc in processing. The reasons are that, Firstly, even if the naive Bayes classif...
Main Authors: | Xiong Jintao, Jiang Pan, Yang Jianyu, Zhong Zhibin, Zou Ran, Zhu Baozhong |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2016-01-01
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Series: | MATEC Web of Conferences |
Subjects: | |
Online Access: | http://dx.doi.org/10.1051/matecconf/20165901003 |
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