Title | ||
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Robust Fusion of Color and Depth Data for RGB-D Target Tracking Using Adaptive Range-Invariant Depth Models and Spatio-Temporal Consistency Constraints. |
Abstract | ||
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This paper presents a novel robust method for single target tracking in RGB-D images, and also contributes a substantial new benchmark dataset for evaluating RGB-D trackers. While a target object's color distribution is reasonably motion-invariant, this is not true for the target's depth distribution, which continually varies as the target moves relative to the camera. It is therefore nontrivial t... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TCYB.2017.2740952 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Target tracking,Benchmark testing,Robustness,Adaptation models,Videos,Image color analysis | BitTorrent tracker,Computer vision,Fusion,Exploit,Robustness (computer science),Video tracking,Artificial intelligence,Invariant (mathematics),RGB color model,Mathematics,Benchmark (computing) | Journal |
Volume | Issue | ISSN |
48 | 8 | 2168-2267 |
Citations | PageRank | References |
4 | 0.40 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jingjing Xiao | 1 | 44 | 4.10 |
Rustam Stolkin | 2 | 527 | 39.74 |
Yuqing Gao | 3 | 480 | 53.03 |
Ales Leonardis | 4 | 38 | 3.43 |