搜索资源列表
gmm_utilities
- 用粒子滤波算法进行跟踪的matlab代码。
VC编写的粒子滤波视频跟踪程序
- Particle Filter Tracking
particle_filter_tracker
- matlab实现的基于粒子滤波算法的跟踪
LeeTracking1.0
- 目标跟踪的基准测试，粒子滤波的
particleFilterTrack
- 基于opencv1.0的粒子滤波的跟踪，里面没有要处理的视频，所以要改一下路径-Opencv1.0 particle filter based tracking, which does not have to deal with the video, so the path to change it
Tracking
- 使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法，主要功能在MFC对话框内实现。-particle filter object tracking
110123
- opencv粒子滤波实现的动态跟踪 具有很好的跟踪效果-the opencv particle filter implementation of dynamic tracking
@ukf
- unscented kalman滤波器程序，相对比较基础，可以结合例子学习，有助于初学者学习-unscented kalman filter procedure, the relative basis of comparison, examples of learning can be combined to help beginners learn
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
GestureTravce
- 基于粒子滤波与改进水平集的人手跟踪论文，论文中详细介绍了手势分割的实现算法-Based on particle filter and improve the level set of hand tracking paper, paper introduces the realization of gesture segmentation algorithm
Multi-targetTracking
- 一篇关于多目标跟踪的文章，结合了Meanshift和粒子滤波两种常用的方法-A Multi-target Tracking Method Based on Mean-shift and Particle Filter
Untitled
- 使用粒子滤波的matlab的实现，可以跟踪目标-Particle filter
Particrecast
- 粒子滤波实现无线传感器网络目标跟踪预测Particle filter target tracking wireless sensor networks Forecast-Particle filter target tracking wireless sensor networks Forecast
pritical
- 基于粒子滤波的视频目标跟踪技术研究论文，很详细了说明了-Particle filter based target tracking in video research paper, a very detailed descr iption of the
ParticleEx2
- 粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 2-particle filter
ParticleEx3
- 粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 3-particle filter
ParticleEx4
- 粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 4-particle filter
ParticleEx5
- 粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 5-particle filter
Bearings-Only-Tracking
- BOT模型的一种跟踪方法，使用粒子滤波实现-BOT model of a tracking method, using the particle filter implementation