HUMAN POSE TRACKING USING ONLINE LATENT STRUCTURED SUPPORT VECTOR MACHINE

碩士 === 國立臺灣科技大學 === 資訊工程系 === 103 === Human pose tracking in a video is a challenging problem and a desirable requirement in many applications. The problem is challenging in realistic scenes due to complicated movement, occlusion, a lighting change, and etc. We propose an online learning approach fo...

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Bibliographic Details
Main Authors: IRAWATI NURMALA SARI, 金愛容
Other Authors: KAI-LUNG HUA
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/69983765964641460788