Aggregating Two-Stream Trajectory using Neural Network for Counting Arbitrary Human Action Repetition

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Although deep neural network has achieved great success in computer vision recently, the problem of determining repetitions of arbitrary periodic human actions is still challenging. The difficulties lay in varying frame length of repetitions, temporal localizat...

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Bibliographic Details
Main Authors: Chih-Yu Lin, 林之宇
Other Authors: 徐宏民
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/k9343t