A Multiple Random Feature Extraction Algorithm for Image Object Tracking

碩士 === 國立交通大學 === 電機工程學系 === 105 === This thesis proposes an object-tracking algorithm with multiple randomly-generated image features. We mainly improve the tracking performance which is sometimes good and sometimes bad in compressive tracking. In compressive tracking, the image features are genera...

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Bibliographic Details
Main Authors: Wang, Shih-Chi, 王士奇
Other Authors: Dung, Lan-Rong
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/16133340153085524810