Name
Abstract | ||
|---|---|---|
In this paper, we present a method to extract moving objects in monocular image sequences. The proposed method is based on graph cuts defined on a spatio-temporal region adjacency graph (RAG). First, we initially over-segment each frame in the video, and take the over-segmented regions as the vertices in the 3D spatio-temporal graph. Second, multiple cues are fused together to extract objects accurately. Finally, accurate foreground/background segmentation are efficiently achieved by binary graph cut. The experimental results showed that the proposed method improved the performance of segmentation with respect to the popular methods. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116124 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
Keywords | Field | DocType |
Graph cuts, 3D spatio-temporal graph, video objects segmentation | Graph theory,Adjacency list,Cut,Computer vision,Pattern recognition,Vertex (geometry),Computer science,Segmentation,Image segmentation,Feature extraction,Artificial intelligence,Binary number | Conference |
Volume | Issue | ISSN |
null | null | 1522-4880 |
Citations | PageRank | References |
4 | 0.49 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqiang Tian | 1 | 81 | 20.68 |
| J. Xue | 2 | 542 | 57.57 |
| Nanning Zheng | 3 | 3975 | 329.18 |
| X. Lan | 4 | 165 | 30.34 |
| Ce Li | 5 | 56 | 9.28 |