kalman

代码说明：

  分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。(Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate.)

文件列表：

kalman滤波实现视频目标跟踪
..........................\1.avi,19709440,2008-06-20
..........................\AR_to_SS.m,1107,2002-05-29
..........................\convert_to_lagged_form 递归.m,425,2002-05-29
..........................\ensure_AR.m,354,2002-05-29
..........................\eval_AR_perf.m,1045,2002-05-29
..........................\extract.m,1586,2009-06-28
..........................\gaussian_prob.m,848,2005-04-25
..........................\hs_err_pid3492.log,13016,2008-03-04
..........................\kalman.asv,2770,2015-04-04
..........................\kalman.m,2770,2015-04-04
..........................\kalman_filter 卡尔曼滤波器.m,2932,2008-03-05
..........................\kalman_forward_backward.m,2435,2008-03-04
..........................\kalman_smoother.m,1620,2008-03-05
..........................\kalman_update.asv,2098,2008-03-05
..........................\kalman_update.m,2098,2008-03-05
..........................\learning_demo.m,1022,2002-10-23
..........................\learn_AR.m,819,2002-05-29
..........................\learn_AR_diagonal.m,687,2002-05-29
..........................\learn_kalman.m,5515,2006-08-24
..........................\plotcov2.m,3099,2005-04-25
..........................\plotgauss2d.m,4249,2005-04-25
..........................\plot_ellipse.m,507,2003-05-28
..........................\process_options.m,4526,2005-04-25
..........................\htm" target=_blank>README,551,2014-10-22
..........................\README.txt,491,2014-10-22
..........................\README.txt~,535,2003-01-18
..........................\SampleVideo.avi,353334,2014-10-22
..........................\SampleVideo1.avi,21263300,2014-10-22
..........................\sample_gaussian.m,524,2005-04-25
..........................\sample_lds.asv,1842,2008-03-05
..........................\sample_lds.m,1842,2008-03-05
..........................\smooth_update.m,1295,2008-03-05
..........................\SS_to_AR.m,579,2002-05-29
..........................\testKalman.m,60,2014-10-22
..........................\tracking_demo.m,2076,2008-03-05
..........................\说明.txt,28,2014-12-12