Name
Abstract | ||
|---|---|---|
Developing an automatic and intelligent system to detect, track, recognize, and analyze moving objects could save human power in monitoring centers. In this study, the color features of an employee's uniform were extracted to identify the entrance legality in a restricted area of an open space. The body of an entrant was segmented into three parts for locating the region of interest (ROI) using a watershed transform. Dominant color features extracted from the ROI were classified for preventing the illegal entrance. Some experiments were conducted to show the feasibility and validity of the proposed system |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CCST.2006.313431 | Journal of Information Science and Engineering |
Keywords | DocType | Volume |
legality detection,security,color feature,illegal entrant detection,target tracking,image segmentation,color structure descriptor,moving object tracking,object detection,colorfeature,color features,moving object recognition,watershed transform,moving object detection,region of interest,image colour analysis,video surveillance,feature extraction | Journal | 25 |
Issue | ISSN | ISBN |
5 | 1016-2364 | 1-4244-0174-7 |
Citations | PageRank | References |
1 | 0.35 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jau-Ling Shih | 1 | 217 | 11.64 |
| Ying-Nong Chen | 2 | 58 | 7.89 |
| Kai-chiun Yan | 3 | 1 | 0.35 |
| Chin-Chuan Han | 4 | 668 | 62.34 |