An analogic CNN-algorithm of pixel level snakes for tracking and surveillance tasks
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications - Trang 84-91
Tóm tắt
This paper addresses the application of the pixel level snakes for the segmentation of moving objects. This kind of active contour techniques can handle multiple contours simultaneously without time-processing penalty as well as to manage appropriately the topologic transformations among them when this is required. The implementation into a CNNUM or a specific purpose CNN platform gives solution to the speed requirements of this kind of tasks. Particularly, we show an analogic CNN-algorithm which meets all the constrains imposed for the current CNNUM hardware implementations.
Từ khóa
#Surveillance #Active contours #Image segmentation #Deformable models #Application software #Cellular neural networks #Image sequences #Layout #Computer science #HardwareTài liệu tham khảo
10.1023/A:1008105404510
vilarino, 2001, Contornos Activos a Nivel de Pixel: Diseño e Implementacion sobre Arquitecturas de Redes Neuronales Celulares
10.1109/CNNA.2000.876845
10.1006/rtim.2000.0222
10.1002/(SICI)1097-007X(199901/02)27:1<5::AID-CTA38>3.0.CO;2-C
10.1016/S1361-8415(96)80007-7
10.1007/978-1-4471-1555-7
10.1023/A:1008153320440
10.1109/34.368173
10.1023/A:1007979827043
10.1109/ICPR.2000.905419
blake, 1992, Active Vision
kass, 1988, Snakes: Active Contours Models, International Journal on Computer Vision, 1, 321, 10.1007/BF00133570
10.1109/82.222815