Object Retrieval Using Scene Normalized Human Model for Video Surveillance System

被引：0

作者：

Cho, Woon ^{[1
]}

Abidi, Mongi A. ^{[1
]}

Jeong, Kyungwon ^{[2
]}

Kim, Nahyun ^{[2
]}

Lee, Seungwon ^{[2
]}

Paik, Joonki ^{[2
]}

Lee, Gwang-Gook ^{[3
]}

机构：

[1] Univ Tennessee, Dept EECS, Knoxville, TN 37996 USA

[2] Chung Ang Univ, Dept Image, Seoul 156756, South Korea

[3] SK Telecom, Future Technol R&D Div, Video Technol Lab, Seoul, South Korea

来源：

18TH IEEE INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS (ISCE 2014) | 2014年

关键词：

retrieval system; surveillance system; human model; scene calibration;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a human model-based feature extraction method for a video surveillance retrieval system. The proposed method extracts, from a normalized scene, object features such as height, speed, and representative color using a simple human model based on multiple-ellipse. Experimental results show that the proposed system can effectively track moving routes of people such as a missing child, an absconder, and a suspect after events.

引用

页数：2

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