搜索资源列表
ikldemo
- visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法，检测视频运动目标。鼠标点击目标点，视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
CA
- 目标跟踪下的基本CA运动模型，对CA模型进行目标跟踪-For the basic uniform motion model of target tracking, the basic target tracking
RLOF_Windows_64__V12
- 一种鲁棒的光流法，实现运动目标检测跟踪，算法抗噪性能强，定位准确-A robust optical flow, detection and tracking moving objects, and strong anti-noise performance algorithms, accurate positioning
bs_movingdetecting_1
- 实现了运动目标的检测和跟踪，使用背景差分法，帧间差分法、光流法和均值漂移的方法，能够实现很好的对运动目标的跟踪-Achieve a moving target detection and tracking, using background subtraction, inter-frame difference, optical flow method and the method of mean-shift, it is possible to achieve a good track mov
AVPF
- 视频跟踪辅助粒子滤波程序AVPF，用于运动目标的视觉跟踪-Auxiliary particle filter video tracking procedures AVP, for visual tracking of moving objects
kalman
- 利用扩展卡尔曼滤波算法，跟踪平面运动目标-Using the extended Kalman filter algorithm to track moving targets plane
Background-isolated
- 背景分离，高斯处理视频，并做前后背景分离，跟踪运动目标-Background separation, Gaussian process video, and do before and after the separation of the background and track moving targets
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪，对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
background
- 基于matlab，利用背景减除法实现运动目标的跟踪。本代码所用的函数均适用于新版本的matlab，不需要额外修改。在MATLAB2014a编译通过。-Based on matlab, for tracking moving objects using background subtraction method. The code used functions are applied to the new version of matlab, no additional modifications
target_tacking_cv
- 匀速直线运动的滤波仿真程序，适用于目标跟踪算法初学者，注释比较齐全-Uniform linear motion of the filter simulation program for target tracking algorithm for beginners, the Notes more complete
BackgroundDifferenceMethod
- 背景差分法，可以有效地跟踪运动目标，程序中都有注释，应该很好理解。-Background Difference Method
SC
- 最基本的牛顿迭代法，随机设置4个观测站，跟踪运动目标-Basic Newton iterative method, a random set four stations and track moving targets
IMMPF
- 交互式粒子滤波，用于解决不明确知道机动目标运动状态的目标跟踪问题-Interactive particle filtering for solving target tracking problems that do not explicitly know the state of motion of maneuvering targets
MGMM_Particle-Filter
- 本文分别实现了整体模板更新和选择性子模块更新方法，以适应运动目标的运动姿态变化以及运动背景变化，并将其分别与粒子滤波目标跟踪算法相结合，以提高跟踪的鲁棒性。-This thesis studies and implements a total target model updating method and a selected sub-model updating method, and then combines it with the particle filter algorithm f
Object_tracking-master
- 利用meanshift算法，进行视频中运动目标的跟踪-Use the meanshift algorithm to track the motion targets in video
ViBe1
- 基于vibe实现的目标跟踪，当背景不变时，能对运动的物体进行检测并跟踪。- 36/5000 Jīyú vibe shíxiàn de mùbiāo gēnzōng, dāng bèijǐng bù biàn shí, néng duì yùndòng de wùtǐ jìnxíng jiǎncè bìng gēnzōng. Based on the vibe implementation of the target tracking, when the background is c
dat-v1.0
- 运动目标检测和跟踪,通过背景减法和帧差法检测运动目标，测试结果还可以，代码仍需调试-object detection
dingwei
- 文针对高斯噪声环境下静、动态点目标的无线定位、追踪与运动分析等信号 处理问题进行了算法研究,着眼于提高精度与鲁棒性、低成本解决方案、实用化技术 等方面(In this paper, the wireless location, tracking and motion analysis of static and dynamic point targets in Gauss noise environment are presented The algorithm is studied with
ConsoleApplication10
- 基于OpenCV的流光法跟踪运动物体的算法采用C++语言编写 开发平台:Visual C++(Based on OpenCV, the algorithm of tracking moving objects adopts c + + language to write development platform: Visual c + +)
VehicleTrack
- 视频车辆检测，主要是介绍视频中的车辆运动目标的检测和跟踪计数(The detection of video vehicle mainly introduces the detection and tracking of moving targets in video)