搜索资源列表
sphere_wang
- 利用粒子系统,借助贴图技术,生成一个球体!-particle system with mapping technology, generating a ball!
Collision_Detection
- 利用VC++实现碰撞检测的算法。其中假设粒子都是椭圆的。
关于opencv的粒子滤波
- 基于opencv 的粒子滤波跟踪,有利于学习的需求!
fluidmechanic
- 流体力学 粒子运动 描述了一群粒子群从空中下落过程以及散开轨迹-Fluid particle describes a group of particles falling from the air base and spread the process trajectory
lzlv
- 标准粒子滤波目标跟踪源码! 一维情况下 非线性非高斯,-Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,
lzlbdmbgz
- 粒子滤波在机动目标跟踪中的应用,粒子滤波在机动目标跟踪中的应用。-Particle filter in the maneuvering target tracking in the application of particle filter in the maneuvering target tracking applications.
DVPI
- 先按一定要求生成两幅粒子图像,然后基于相关检测的方法测出粒子的运动速度,仿真的是简单情况 ,即水平运动的情况。属于基础学习用的。-Press must be to generate two particle image, and then based on correlation detection method to measure particle velocity, simulation of a simple situation, that is the case of horizont
pf_robot_WIFI
- 用粒子滤波进行机器人定位.是用matlab编写的应用程序.-Using particle filter for robot localization. Is prepared matlab applications.
ivt
- 目标跟踪,利用自我学习的子空间,此算法的最大特点是利用了粒子滤波,并且速度快-incremental basis visual tracking
Identification_smoke
- 烟雾粒子的识别及其激光散射特性的 蒙特卡罗模拟-Identification of the smoke particles and the laser scattering of Monte Carlo simulation
7788
- 大名鼎鼎的方帅的博士学位论文---目前,计算机智能视频监控在理论和应用上都面临着很多难题,国内外大批学者投身于该领域的研究和探索,并且取得了大量的成果.本文是在这些成果的基础上,对计算机智能视频监控系统的关键技术进行研究.主要贡献可概括如下:首先,对目标检测技术进行了研究,并提出了一种基于背景建模的运动目标检测算法.利用统计的方法建立了基于颜色和颜色梯度的背景模型,并实时地对背景模型进行更新,最后将这两种背景模型综合考虑对目标进行了有效的检测.接着,研究了复杂背景下多目标跟踪问题,提出了基于蒙特
P-times-the-variance-based-on-the-projection-coord
- 基于投影坐标p次方差及粒子群的车牌倾斜检测P times the variance based on the projection coordinates and the particle swarm plate skew detection-P times the variance based on the projection coordinates and the particle swarm plate skew detection
chepaidefengesuanfayusheji
- 车牌的分割算法与设计,基于opengl的粒子系统的车牌的分割算法与设计-Segmentation algorithm and design of license plates, opengl particle system based on the license plate of the segmentation algorithm and design
MovingObjectTracking
- 运动目标跟踪程序代码 基于粒子滤波的目标跟踪程序-based on Particle File moving object tracking
kalman-filter-for-tracking
- 优于Kalman滤波的粒子滤波在目标跟踪中的应用-Beyond the Kalman Filter Particle filter for tracking applications
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.
lizigenzong
- 粒子滤波实现指定颜色块的跟踪,先选取矩形区域,然后用粒子滤波的方法进行跟踪。-Specified color block tracking particle filter, first select a rectangular area, and then be tracked with a particle filter method.
LIZIQUN
- 案例26 粒子群算法的寻优算法-非线性函数极值寻优-26 cases of particle swarm algorithm optimization extreme- nonlinear function optimization algorithm
hybrid-PSO-based-on-TSP
- 实现基于PSO的混合粒子优化算法,具有很好的稳定性和快速性-Search algorithm based on hybrid particle swarm optimization algorithm based on TSP
human-testing
- 主要利用粒子滤波进行人体跟踪,能很好地进行人体跟踪-The main use of the particle filter for human body tracking, can be used for human body tracking