Recurrent neural networks are popular tools used for modeling time series. Common gradient-based algorithms are frequently used for training recur- rent neural networks. On the other side approaches based on the Kalman filtration are considered to be the most appropriate general-purpose training algorithms with respect to the modeling accuracy.

Detection and Recognition of Moving Video Objects Kalman Filtering with Deep Learning

卡尔曼滤波视频去噪 Kalman filtering of patches for frame-recursive video denoising

Probabilistic video stabilization using Kalman filtering and mosaicking

一本非常经典的卡尔曼滤波教程，适合中高等的研究人员参考

Kalman Filtering - Theory and Practice Using MATLAB 第三版的源程序，2008年出版

Fundamentals of Kalman Filtering: A Practical Approach 第4版，非常经典的卡尔曼滤波教材

classical textbook of Kalman Filtering. With the possible exception of the fast Fourier transform, Kalman filtering is probably the most important algorithmic technique ever devised.

卡尔曼滤波入门经典书籍！非常经典，特别重视实用性方法

介绍卡尔曼滤波的，有许多生动的案例，除去了枯燥的理论推导。还是需要推荐下。虽然卡尔曼滤波的基本知识一般其他机器人的书也会讲