Name
Title | ||
|---|---|---|
Video-Based Tracking and Incremental Learning Applied to Rodent Behavioral Activity Under Near-Infrared Illumination |
Abstract | ||
|---|---|---|
This paper describes a noninvasive video tracking system for measurement of rodent behavioral activity under near-infrared (NIR) illumination, where the rodent is of a similar color to the background. This novel method allows position tracking in the dark, when rodents are generally most active, or under visible light. It also improves current video tracking methods under low-contrast conditions. ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIM.2007.908277 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Rodents,Lighting,Decision trees,Legged locomotion,Biomedical monitoring,Optical distortion,Biomedical measurements,Feature extraction,Classification tree analysis,Testing | Decision tree,Computer vision,Computer science,Tracking system,Feature extraction,Video tracking,Artificial intelligence,Test data,ID3,Contextual image classification,Incremental decision tree | Journal |
Volume | Issue | ISSN |
56 | 6 | 0018-9456 |
Citations | PageRank | References |
4 | 0.60 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jane Brooks Zurn | 1 | 11 | 1.79 |
| Xianhua Jiang | 2 | 55 | 6.25 |
| Yuichi Motai | 3 | 230 | 24.68 |