搜索资源列表
ObjTracker
- 一个采用FFMPEG对视频进行解码、采用OPENCV对物体进行跟踪的 跟踪示例程序。-A use of FFmpeg for video decoding, using OPENCV object tracking sample tracking procedures.
cafilter
- 本程序是利用kalman filter实现人体关节点跟踪的程序，运用的是CA模型，噪声是白噪声！一起学习-This procedure is to use the realization of human joints kalman filter tracking procedures, the use of the CA model, the noise is white noise! Learning together
PDA
- 一种用于多目标跟踪的改进PDA算法，北京理工大学学报上面的文章，、概率数据 关联滤波(p robab ility data associat ion f ilter, PDA )-A multi-target tracking algorithm improvements PDA, Beijing Institute of Technology Journal of the above articles, probabilistic data association filter (p ro
py
- 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files.
Vo
- Random Set/Point Process in Multi-Target Tracking. 关于PHD滤波实现多目标跟踪很好的课件。-Random Set/Point Process in Multi-Target Tracking. On PHD filter multi-target tracking good courseware.
Particle_Filter
- 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
FaceDetectionandHeadTrackinginVideo
- 清华大学学位论文；将树状多视角人脸检测器引入粒子滤波器的概率跟踪框架，提出了一种融合了检测信息的跟踪方法；对粒子滤波器的基本算法作扩展，提出了一种融合不同状态量的多个观测模型的方法-Degree Thesis, Tsinghua University the tree multiview face detection probability of the introduction of particle filter tracking framework, a combination of d
OnTrackingofMovingObjects
- 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
ResearchOnKeyTechnologiesOfRobustFaceTrackingSyste
- 鲁棒人脸跟踪系统学位论文；提出了一种两阶段的光照均衡的方法来消除单幅图像中的各种阴影包括模糊阴影，投射阴影等 根据快速的Adaboost 训练框架，本文提出了一个实时的鲁棒人脸检测算法 提出了一种基于在线实值boosting 的方法来处理人脸在跟踪过程中发生的外貌变化；实现了一个基于以上模块的完全自动化的人脸跟踪器-Robust Face Tracking System dissertation proposes a two-stage light-balanced approach to t
BasedOnMeanShiftAndParticleFilterObjectTracking.ra
- 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信 息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
ParticleFilter
- Particle filter for radar tracking application
BaseonOpenCV
- 在介绍Intel公司的开源OpenCV计算机视觉库的基础上，采用CAMSHIFT跟踪算法，实现运动目标跟踪，解决了跟踪目标发生存在旋转或部分遮挡等复杂情况下的跟踪难题。实验结果表明该算法的有效性、优越性和可行性。-Introducing Intel s open-source computer vision library OpenCV on the basis of CAMSHIFT tracking algorithm used to achieve moving target tracki
aambuilding-1.0
- AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc. -AAM (Active Appearance Model) Building module. AA
COM_imm
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
CS
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
EKF
- This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat
v1.0
- 一个实施的人脸跟踪软件,利用视频设备来进行人脸的跟踪-An implementation of the human face tracking software, the use of video equipment to Face Tracking
detection
- 里面是10篇关于智能视频监控中运动目标检测，识别，跟踪等的文章，还包含了两篇关于人运动检测识别的综述，希望对大家能有所帮助。-There is a 10 on the intelligent video surveillance in moving target detection, identification, tracking and other articles, also includes two on human motion detection to identify a synt
FaceeyeetectionEy
- 实现对眼睛的识别，以及实现多帧图像的连续跟踪。用matlab实现，里面有测试图片。-To achieve recognition of the eyes, as well as the realization of multi-frame images of continuous tracking. Using matlab to achieve, there are test images.
MAT-PROGRAM
- 雷达与红外目标跟踪融合的尝试，探讨中-Target tracking radar and infrared fusion attempts to explore in