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.

kalman滤波实现视频目标跟踪
..........................\1.avi
..........................\AR_to_SS.m
..........................\convert_to_lagged_form 递归.m
..........................\ensure_AR.m
..........................\eval_AR_perf.m
..........................\extract.m
..........................\gaussian_prob.m
..........................\hs_err_pid3492.log
..........................\kalman.asv
..........................\kalman.m
..........................\kalman_filter 卡尔曼滤波器.m
..........................\kalman_forward_backward.m
..........................\kalman_smoother.m
..........................\kalman_update.asv
..........................\kalman_update.m
..........................\learning_demo.m
..........................\learn_AR.m
..........................\learn_AR_diagonal.m
..........................\learn_kalman.m
..........................\plotcov2.m
..........................\plotgauss2d.m
..........................\plot_ellipse.m
..........................\process_options.m
..........................\README
..........................\README.txt
..........................\README.txt~
..........................\SampleVideo.avi
..........................\SampleVideo1.avi
..........................\sample_gaussian.m
..........................\sample_lds.asv
..........................\sample_lds.m
..........................\smooth_update.m
..........................\SS_to_AR.m
..........................\testKalman.m
..........................\tracking_demo.m
..........................\说明.txt

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