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An Improved Compressive Tracking Approach Using Multiple Random Feature Extraction Algorithm
Lan-Rong Dung
*
, Shih Chi Wang
*
此作品的通信作者
電控工程研究所
研究成果
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引文 斯高帕斯(Scopus)
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Keyphrases
Feature Extraction Methods
100%
Tracking Approach
100%
Random Features
100%
Compressive Tracking
100%
Tracking Method
50%
Image Features
50%
Performance Improvement
25%
Multi-feature
25%
Tracking Error
25%
Similarity Measure
25%
Tracking Algorithm
25%
Bounding Box
25%
Object Tracking Algorithm
25%
Success Rate
25%
Overlap Ratio
25%
Error Bound
25%
Object Tracker
25%
Bhattacharyya Coefficient
25%
Center Location Error
25%
Computer Science
image feature
100%
Tracking Algorithm
100%
Tracking Method
100%
Feature Extraction
100%
Experimental Result
50%
Performance Improvement
50%
Similarity Measurement
50%
Tracking Object
50%
Location Error
50%
Tracking Error
50%
Bhattacharyya
50%
Engineering
Feature Extraction
100%
Similarities
100%
Multiple Random
100%
Experimental Result
50%
Performance Improvement
50%
Tracking Algorithm
50%
Bounding Box
50%
Object Tracking Algorithm
50%
Location Error
50%
Success Rate
50%
Bhattacharyya
50%