Name
Abstract | ||
|---|---|---|
video tracking method based on superpixel with inter-frame constrained coding is proposed in this paper. The 3-D CIE Lab color feature is extracted at each superpixel to characterize local image information. Based on the color feature, the superpixel-based coding model is achieved between the adjacent frames for correctly tracking object. The proposed tracking method considers the interaction of corresponding superpixels between the adjacent frames of complex scenes, which enhances the stability of encoding. Due to the update of codebook and classifier parameter, the proposed method is robust for long-term object tracking. We test the proposed method on 15 challenging sequences involving drastic illumination change, partial or full occlusion, and large pose variation. The proposed method shows excellent performance in comparison with eight previously proposed trackers. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s00371-014-0996-4 | The Visual Computer: International Journal of Computer Graphics |
Keywords | Field | DocType |
Tracking, Superpixels, Coding | BitTorrent tracker,Computer vision,Pattern recognition,Computer science,Coding (social sciences),Video tracking,Artificial intelligence,Inter frame,Classifier (linguistics),Encoding (memory),Codebook | Journal |
Volume | Issue | ISSN |
31 | 5 | 1432-2315 |
Citations | PageRank | References |
1 | 0.35 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaolin Tian | 1 | 34 | 7.00 |
| Licheng Jiao | 2 | 5698 | 475.84 |
| Xiaoli Zheng | 3 | 1 | 0.69 |
| Xiao-hua Zhang | 4 | 118 | 11.70 |