DocumentCode
1499963
Title
The possible mechanism underlying visual anti-camouflage: a model and its real-time simulation
Author
Lu, Huimin ; Wang, Xiuchun ; Liu, Shouzhong ; Shi, Meide ; Guo, Aike
Author_Institution
Inst. of Biophys., Acad. Sinica, Beijing, China
Volume
29
Issue
3
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
314
Lastpage
318
Abstract
Visual camouflage and anti-camouflage may be of widespread relevance throughout the animal kingdom. A question arises as to the possible mechanism underlying visual anti-camouflage. 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
Keywords
computer vision; filtering theory; motion estimation; neural nets; object recognition; Reichardt motion detectors; afterimages; motion estimation; moving image filtering; moving object image; neural network; real-time systems; simulation; visual camouflage; Animals; Computational modeling; Computer networks; Detectors; Image resolution; Information filtering; Information filters; Motion detection; Neural networks; Object detection;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/3468.759290
Filename
759290
Link To Document