A Retail Object Classification Method Using Multiple Cameras for Vision-Based Unmanned Kiosks-Reference-Cited by-同舟云学术

A Retail Object Classification Method Using Multiple Cameras for Vision-Based Unmanned Kiosks

Author:

Jeon Ji-Ye¹^ORCID,Kang Shin-Woo¹^ORCID,Lee Hyuk-Jae¹^ORCID,Kim Jin-Sung²^ORCID

Affiliation:

1. Electrical and Computer Engineering Department, Seoul National University, Seoul, South Korea

2. Electrical Engineering Department, Sun Moon University, Asan, South Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation

Korean Government [Ministry of Science and ICT (MSIT)]

MSIT, South Korea, under the Information Technology Research Center (ITRC) Support Program supervised by the IITP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference27 articles.

1. DeePM: A deep part-based model for object detection and semantic part localization;zhu;arXiv 1511 07131,2015

5. The freiburg groceries dataset;jund;arXiv 1611 05799,2016

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