matlab源代码：通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题。

完整代码，可直接运行

机动目标跟踪学习教材，经典跟踪算法，卡尔曼滤波算法实现及应用

用于室内定位的TDOA算法matlab仿真代码：含chan氏，taylor算法，卡尔曼滤波算法，及改进的基于卡尔曼的奇异值抛弃和整体偏移法,考虑NLOS因素(matlab simulation code of the TDOA algorithm For indoor positioning : containing chan s, taylor algorithm, the Kalman filter algorithm, and improved singular value based on Kalman abandoned and the overall offset method)

TDOA_AOA定位的扩展卡尔曼滤波定位算法.rar

概述 这是一种推导并实现用于卡尔AHRS系统的扩展卡尔曼滤波器的工作。 在Jupyter笔记本中介绍了卡尔曼滤波器方程的推导。 卡尔曼过滤器在python / numpy和c ++中均已实现。 一种。 可以使用flightgear.py使用flightgear.py输出测试KF。 该脚本可以使用numpy或c ++实现来运行KF。 参考 要求 pyEfis _ FIX-Gateway _ 测试数据集 从手机收集的数据集用于开发/测试。 该数据包括加速度，陀螺仪，磁力计和GPS数据。 速度和海拔高度是根据GPS数据得出的。 知道问题/待办事项 防滑 转数 空速（从GPS导出）在测试数据集中非常跳跃。 用baro和pito

YOLOv5+deepsort算法实现门店客流量统计，源码加模型及测试视频。也可以自己训练模型，应用于车流量或者其他目标计数。 如果下载后，使用有什么问题可以留言或者私聊！

是利用离子滤波在MATLAB下所实现的目标跟踪

This lecture series gives comprehensive overview of the broad field of advanced radar systems, signal and data processing. The series starts with a lecture by U. Nickel in which the basic and fundamental of signal processing for phased array radar and their problems with grating lobes, ambiguities, and angle estimation for instance. The lecture “Advanced target tracking techniques” by W. Koch gives a short introduction to the principle of target tracking and several approaches are discussed for sequential track extraction and for phased-array radars. In the third lecture P. Berens gives an introduction to the synthetic aperture radar (SAR). T. Johnsen provides an overview of bi- and multistatic radar and their associated problems like synchronization, timing, and signal processing. The second lecture of U. Nickel focuses on the problem of adaptive array signal processing and provides the fundamental understanding for the next two lectures. The focus of these lectures, presented by W. Bürger, is on space-time adaptive processing. In his second lecture P. Berens continues with the topic of the synthetic aperture radar and expands the presented techniques to wideband SAR and multichannel SAR/MTI systems. W. Koch’s second paper focuses on sensor data and information fusion, which is essential to extract key-information for the final judgement using several sensors. In summery, this Lecture Series presents a unique overview of the state of the art of advanced radar and the associated signal and data processing research. It offers a variety of material for all those being involved in this scientific area, e.g. students, university teachers, researchers, industrial system designers, and military users.

完整代码，可直接运行