The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE Trans. Neural Networks, 13(5), 1127--1136. The al

RNNLIB可以用来做语音识别、手写字符识别。由大牛Alex Graves编写，专门做RNN、LSTM的研究。他的主页是http://www.cs.toronto.edu/~graves/-RNNLIB is a recurrent neural network library for sequence labelling problems, such as speech and handwriting recognition.

跟踪速度达到100FPS的跟踪器，基于RNN循环神经网络。-Tracking speed up to 100FPS tracker based on RNN recurrent neural network.

Conditional Random Fields as Recurrent Neural Networks 论文中提供的方法，在tensorflow上实现(The method provided in the paper Conditional Random Fields as Recurrent Neural Networks which is implemented on tensorflow)