文档介绍：A time delay work algorithm for estimating image-pattern shape and motion Liu Xiao Image and puting, 1999 Christian Wohlera, Joachim K. Anlaufb institute puting technology Liu Xiao 2014 8 18 Introduction In this paper, the author presents a novel concept for simultaneous shape estimation and motion analysis based on a TDNN(time-delay work) architecture with adaptable spatio-temporal receptive fields. Time work structure with adaptable spatio-temporal receptive fields t The input image sequence is of the dimension Sx(1) ╳ Sy(1) ╳ St(1) Time work structure with adaptable spatio-temporal receptive fields t t Bxyt rsmnp Branch Branch ε sijtt Bxyt Bxyt ε sijt vsijqk σ kt ωk Time work structure with adaptable spatio-temporal receptive fields Error function A k = c (current class c), A ≈1 ? k = 0 k ≠ c Experiments The size of a single image is Sx(1) = 32 by Sy(1) = 16 pixels, one sequence consists of St(1) = 8 such images. There are two shape classes, and five speeds V0 = -4, -2, 0, 2, 4. The training sets consist of 5000 examples, 500 of each class. work parameters are as follows: And the error rate on the test set is %. Experiments