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Proceedings Paper

Object detection for vision-aided inventory counting
Author(s): Yueming Qin; Yin Zhang
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Paper Abstract

An object detection for vision-aided inventory counting is developed. The propose approach is simple to use and reduce the workload remarkably. Meanwhile, the approach count the items of interest almost in real time with an acceptable precision, which is desirable in inventory counting. The experiment results show that the proposed approach is efficient to fulfill the counting task.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981524 (14 December 2015); doi: 10.1117/12.2210735
Show Author Affiliations
Yueming Qin, Yichang Testing Technique Research Institute (China)
Yin Zhang, Yichang Testing Technique Research Institute (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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