Name
Title | ||
|---|---|---|
The possible mechanism underlying visual anticamouflage: A model and its real-time simulation |
Abstract | ||
|---|---|---|
Visual camouflage and anticamouflage may be of widespread relevance throughout the animal kingdom. A question arises as to the possible mechanism underlying visual anticamouflage. A computational model of visual moving image filtering is proposed in which Reichardt's elementary motion detectors are employed for detecting motion information. Afterimages may play an important role in filtering motion object image. An electronic neural network setup was developed for real-time examination of the computational model. Thus, the separation of the moving object image from its background is realized in real-time, while the detected moving image is in high resolution with lower level noise. © 1999 IEEE. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/3468.759290 | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. |
Keywords | Field | DocType |
null | Computer vision,Computer science,Filter (signal processing),Afterimage,Camouflage,Artificial intelligence,Motion estimation,Artificial neural network,Detector,Real-time simulation,Machine learning,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
29 | 3 | null |
Citations | PageRank | References |
3 | 0.59 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huimin Lu | 1 | 3 | 0.59 |
| Xiuchun Wang | 2 | 3 | 0.59 |
| Shouzhong Liu | 3 | 3 | 0.59 |
| Meide D. Shi | 4 | 3 | 0.59 |
| A Guo | 5 | 19 | 5.17 |