Technology of Graphic & Image
|
621-624

Dynamic hand-held object recognition based on SSU-SGD

Zhao Wencang
Chen Congcong
Zheng Honglei
Institute of Automation & Electronic Engineering, Qingdao University of Science & Technology, Qingdao Shandong 266061, China

Abstract

Continuous object contains richer information. In order to obtain more meaningful visual information in dynamic hand-held objects, targeting dynamic hand-held objects in different backgrounds, based on the step-size self-learning update SGD(SSU-SGD), this paper proposed three benchmarks for dynamic hand-held object recognition. Through self-learning of different step sizes, it consolidated the train on the basis of known classes, unknown classes, and known objects for subsequent dynamic hand-held object recognition. Using AlexNet and VGG networks, it performed the programming experiments and simu-lations of naive and cumulative strategies under the three different benchmarks. After experimental verification, this method can effectively improve the running speed and training accuracy and effectively improve the real-time nature of the dynamic hand-held object recognition process, it can be further applied to the actual.

Foundation Support

国家自然科学基金资助项目(61171131)
山东省重点研发计划资助项目(2013YD01033)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0568
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Technology of Graphic & Image
Pages: 621-624
Serial Number: 1001-3695(2020)02-067-0621-04

Publish History

[2020-02-05] Printed Article

Cite This Article

赵文仓, 陈聪聪, 郑鸿磊. 基于SSU-SGD的动态手持物体识别 [J]. 计算机应用研究, 2020, 37 (2): 621-624. (Zhao Wencang, Chen Congcong, Zheng Honglei. Dynamic hand-held object recognition based on SSU-SGD [J]. Application Research of Computers, 2020, 37 (2): 621-624. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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