搜索资源列表
GMM_OpenCV
- 用opencv编写的GMM,用于进行前景检测,人物探测,目标跟踪-Gaussian Mixture Model for human tracking
JPDA
- 在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是(4000,1200)(300,1500)速度分别是(200,200)(400,200)传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1,正确量测落入跟踪内的概率为0.99,杂波均匀分布的密度为2个/km2由RAND函数产生在[0,1]上均匀分布的随机变量,跟踪门限为9.21。 -Superimposed noise in the posit
Effectual-Method-for-Crowd-Counting
- 对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究,利用灰度图像差分双向投影信息检测人体目标,提出一种基于统 计运动区域几何特征固定比例的分割算法,使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
LBP
- LBPR算法运动目标的检测与跟踪,Matlab程序-LBPR algorithm for detection and tracking of moving targets, Matlab program
1234
- 低信噪比下红外弱小目标的检测与跟踪,采用的是基于粒子滤波检测前跟踪算法。-Low SNR infrared small target detection and tracking using front tracking algorithm based on particle filter detection.
kalmanPtracking
- 运用帧间差法检测,基于kalman滤波的目标跟踪。-Use of the inter-frame difference method detection, based kalman filtering target tracking.
long-term-tracking
- 这是一种新的单目标长时间(long term tracking) 跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时,通过一种改进的在线学习机制不断更新跟踪模块的显著特征点和检测模块的目标模型及相关参数,从而使得跟踪效果更加稳定、鲁棒、可靠。-This is a new single target for a long time (long term tracking) tracking algorit
opencv-based-intrusion-detection
- 这是一个基于opencv入侵检测,跟踪目标,显示每帧入侵物的数量,并发出报警-This is a opencv-based intrusion detection, target tracking, display each frame invaders number, and alarm
OpenTLD-master
- TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的一种新的单目标长时间(long term tracking)跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时,通过一种改进的在线学习机制不断更新跟踪模块的“显著特征点”和检测模块的目标模型及相关参数,从而使得跟踪效果更加稳定、鲁棒、可靠。-TLD (Trac
particle
- OpenCV2.4.4+Visual Studio2008环境下基于particleflitter的运动目标跟踪源代码,内含检测sample。-Source code about moving object detection based on particle flitter,built with OpenCV2.4.4&Visual Studio2008 environment.
FixedCamShift
- 改进后的Camshift算法(连续自适应的MeanShift算法),是将OpenCV中的Camshift背景检测和前景检测以及运动目标跟踪过程经过修改之后的代码。-FixedCamshift algorithm (the continuous adaptive MeanShift algorithm), is the Camshift background OpenCV detection and prospects for detection and moving target trackin
CVMFC
- OpenCV图像处理的程序,包含图像的平滑滤波高斯变换和视频采集人脸检测目标跟踪等功能,是个较完整的MFC程序-OpenCV image processing procedures, containing an image the smoothing filter Gaussian transform and video capture face detection, target tracking, etc., is a more complete MFC program
detecting-and-tracking
- 视频序列中二维运动目标的检测与跟踪算法演示-Video sequences dimensional moving target detection and tracking algorithm demo
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中,运动目标的检测和跟踪,包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
moving-tracking
- 运动目标的检测提取以及跟踪,逐级帧差法检测,相似度函数跟踪。-Moving target detection and track extraction, sequential frame difference detection, similarity function tracking.
matlab-code
- 一个多目标跟踪的matlab代码,里面附有说明文档.其中背景差分法可以实现实时更新.该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多-matlab
CAMSHIFT
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码,OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。 该运行文件在VC6.0环境下编译通过,是一个 stand-alone 运行程序,不需要OPENCV的DLL库支持。在运行之前,请先连接好USB接口的摄像头。然后可以用鼠标选定欲跟踪目标。已经调通了。-CAMSHIFT algorithm using rapid detection and tracking moving targets C/C+
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪-Achieve a vehicle target background modeling, foreground detection, shadow elimination, vehicle tracking
mubiaogenzong
- 该系统基于vc++开发环境具有目标跟踪检测测量车牌识别人脸定位火源检测等功能系统,还有一套仿生复眼全景目标跟踪系统-The system is based on vc++ development environment with the target tracking and detection measurement LPR face localization features such as fire detection systems, as well as a panoramic vie
PHD
- 用PHD滤波的方法实现多目标跟踪,及对PHD滤波性能的检测。-PHD filter method using multi-target tracking, and performance testing for the PHD filter.