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MHT
- 采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
kalman
- kalman目标跟踪，从视频中提取图像序列。根据kalman滤波对运动目标理论进行跟踪-kalman tracking, extract images from video sequences. According to theory kalman filter to track the moving target
kalman
- 用卡尔曼滤波实现运动目标的跟踪。可用自己的视频，实验效果良好。-Achieved with the Kalman filter to track moving objects. Use their own video, experimental results well.
labeling-code
- Read video into MATLAB using aviread and alculate the background image . Initialization for Kalman Filtering. Calculate the difference image to extract pixels with more thanthreshold change. and Plot the tracking rectangle after Kalman filtering
target-tracking-Kalman-filter-
- Kalman滤波实现目标跟踪，经过测试，能够精确跟踪视频中的小球-Kalman filter for target tracking, tested, able to accurately track the ball in the video
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.
Motion-in-live-video
- The Kalman filter, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables that t
bunkao_v27
- 代码里有很完整的注释和解释，各种kalman滤波器的设计，实现了图像的灰度化并进一步用于视频监视控。- Code, there are very complete notes and explanations Various kalman filter design, Achieve a grayscale image and further control for video surveillance.
sample-code-for--kalman-in-tracking-field(net).ra
- simple kalman tracking of red ball in video
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
nanlen
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，实现了图像的灰度化并进一步用于视频监视控，各种kalman滤波器的设计。- PV modules contain, MPPT module, BOOST module, inverter module, Achieve a grayscale image and further control for video surveillance, Various kalman filter design.