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matlab-video-tracking
- 基于粒子滤波和卡尔曼滤波的运动目标视频跟踪程序，非常强大和实用，强烈推荐学习使用。-Kalman filter based on particle filter and target video motion tracking program, very powerful and practical, it is strongly recommended to learn to use.
Moving-target-identification
- 运动目标识别，从视频中提取出背景，然后采用背景差除法和开闭运算法，能够很好的识别出运动中物体-Moving target identification, extracted from the video out of context, and then using background subtraction method of division and opening and closing operations, can well identify objects in motion
mean-shift-tracking
- mean shift 用于视频序列的目标跟踪，有例子，用的MATLAB2013a，亲测，可用，改下读图地址即可-mean shift ，Target tracking for video sequences, there are examples of using MATLAB2013a, pro-test, available under change the digitizing address.
bwareaopen(noSmallStructures--150)
- 识别视频中的图像，并将目标图像进行标记，得到拷贝图像-In which the video image and the target image are marked to give a copied image
Robust-pf_colortracker
- 利用 粒子滤波算法 实现的对视频图像中的运动目标定位的粒子。-Use of video motion targeting particle particle filter algorithm implementation.
Meanshift-
- 基于meanshift的视频跟踪，实现了目标的追踪。-Meanshift based video track to achieve the goal of tracking.
jianche
- 背景差分建模运动目标检测和跟踪，附有一个实验视频，点开就跑
move
- 设计一个视频监控软件，完成对运动目标的检测及视频存储功能。-Design a video surveillance software to complete the moving target detection and video storage.
boosting
- 基于boost算法对视频中运动的目标进行检测.-Boost algorithm based on the video target detection
MuBiao
- Matlab目标识别跟踪，视频可以跟我要。-Matlab target track, video can be with me
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
trackbydet
- 这是用于城市环境下车辆目标跟踪算法，对于公路上录制车辆的视频，能够检测出前方运动的车辆，并进行跟踪。-This is the tracking code that has been used for computing the tracklets urban scene understanding. papers: author = {Hongyi Zhang and Andreas Geiger and Raquel Urtasun}, title = {Understandi
assignment5
- 对视频中的目标通过颜色进行跟踪，并用2D卡尔曼滤波跟踪器重新再次进行跟踪测定。-use color information to track a uniquely colored foreground blob，and also Implement a 2D Kalman filter tracker
r
- 交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并
gungou
- 相关分析过程的matlab方法，合成孔径雷达（SAR)目标成像仿真，实现了图像的灰度化并进一步用于视频监视控。- Correlation analysis process matlab method, Synthetic Aperture Radar (SAR) imaging simulation target, Achieve a grayscale image and further control for video surveillance.
filter-in-video-sequences
- 粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
fengqai_v54
- 多目标跟踪的粒子滤波器，匹配追踪和正交匹配追踪，实现了图像的灰度化并进一步用于视频监视控。- Multi-target tracking particle filter, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
fangsang_v36
- 数据模型归一化，模态振动，实现了图像的灰度化并进一步用于视频监视控，计算目标和海洋回波的功率谱密度。- Normalized data model, modal vibration, Achieve a grayscale image and further control for video surveillance, Calculating a target and ocean echo power spectral density.
lenkei_v77
- 可以提取一幅图中想要的目标，实现了图像的灰度化并进一步用于视频监视控，BP神经网络用于函数拟合与模式识别。- Target can be extracted in a picture you want, Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition.
AV_A_PF
- matlab实现联合视频信息和音频信息对目标进行跟踪(The problem of tracking multiple moving speakers in indoor environments has received much attention. Earlier techniques were based purely on a single modality, e.g., vision. Recently, the fusion of multi-modal information h