Name
Abstract | ||
|---|---|---|
In this article, we proposed a surveillance video retrieval method based on detection of moving objects and researched on key problems in surveillance video, such as moving objects detection, video segmentation, selection and description of key frames, and measurement of feature similarities. We detected moving objects via movement detection algorithm based on codebook, and realized automatic segmentation of surveillance video via calculating present Frame Movement Amount based on the foreground and background information in movement detection. After the above process, we proposed a video retrieval method based on the combination of SIFT and color feature. © 2013 Academy Publisher. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jmm.8.6.762-769 | Journal of Multimedia |
Keywords | DocType | Volume |
Key frame,Object detection,SIFT feature,Surveillance video | Journal | 8 |
Issue | ISSN | Citations |
6 | null | 1 |
PageRank | References | Authors |
0.35 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuan Huang | 1 | 21 | 6.70 |
| Fernando Croquer | 2 | 1 | 0.35 |
| Wenhua Zeng | 3 | 136 | 14.83 |