Subjects : Background model
| Type | Year | Title | Cited | Download |
|---|---|---|---|---|
| Conference | 2021 | Unsupervised Moving Object Detection through Background Models for PTZ Camera Kimin Yun International Conference on Pattern Recognition (ICPR) 2020, pp.3201-3208 | 5 | 원문 |
| Conference | 2020 | An Automatic Database Generation Algorithm for Local Optimization of CNN Object Detector for Edge Devices Joon-Goo Lee International Conference on Consumer Electronics (ICCE) 2020 : Asia, pp.364-366 | 4 | 원문 |
| Conference | 2016 | I-vector Based Utterance Verification for Large-Vocabulary Speech Recognition System Woo Yong Choi International Conference on Computer Communication and the Internet (ICCCI) 2016, pp.316-319 | 4 | 원문 |
| Conference | 2011 | Automatic High-Speed Flying Ball Detection from Multi-Exposure Images under Varying Light Conditions Kim Jong Sung International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI) 2011, pp.549-552 | 8 | 원문 |
| Journal | 2008 | Development of a Face Verification System for a Home Service Robot Yun Woo Han Advanced Robotics, v.22, no.6, pp.749-760 | 3 | 원문 |
| Status | Year | Patent Name | Country | Family Pat. | KIPRIS |
|---|---|---|---|---|---|
| Registered | 2009 | Cluster distance based back-ground model generatoin and fore/back-ground segmentation | UNITED STATES | ||
| Registered | 2010 | METHOD AND APPARATUS FOR SEGMENTING MULTI-VIEW IMAGES INTO FOREGROUND AND BACKGROUND BASED ON CODEBOOK | UNITED STATES | ||
| Registered | 2018 | SYSTEM AND METHOD FOR DETECTING DYNAMIC OBJECT | UNITED STATES | ||
| Registered | 2021 | SYSTEM FOR LOCAL OPTIMIZATION OF OBJECT DETECTOR BASED ON DEEP NEURAL NETWORK AND METHOD OF CREATING LOCAL DATABASE THEREFOR | UNITED STATES |
| Type | Year | Research Project | Primary Investigator | Download |
|---|---|---|---|---|
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