Object retrieval using scene normalized human model for video surveillance system
| Title | Object retrieval using scene normalized human model for video surveillance system |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Woon Cho, Abidi, M.A., Kyungwon Jeong, Nahyun Kim, Seungwon Lee, Joonki Paik, Gwang-Gook Lee |
| Conference Name | Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on |
| Date Published | June |
| Keywords | Cameras, Databases, feature extraction, human model, Image color analysis, image retrieval, multiple ellipse human model, object retrieval, object tracking, retrieval system, scene calibration, scene normalized human model, Shape, surveillance system, video surveillance, video surveillance retrieval system |
| Abstract | 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. |
| URL | https://ieeexplore.ieee.org/document/6884439/ |
| DOI | 10.1109/ISCE.2014.6884439 |
| Citation Key | 6884439 |