RTPF:实时粒子滤波
“Real-Time Particle Filter”在商业和产品领域常被缩写为RTPF,便于书写和使用。这一术语的中文对应为“实时粒子滤波”,是一种常用于动态系统中进行状态估计的算法,适用于实时数据处理的场景。
Real-Time Particle Filter具体释义
Real-Time Particle Filter的英文发音
例句
- Because of the huge calculation and worse real-time process of particle filter, color extension is used in our experiment.
- 由于粒子滤波计算量太大,实时性差,所以整体实验中选用颜色扩展跟踪法。
- Non-Rigid Object Real-Time Tracking Based on Particle Filter Algorithm
- 基于粒子滤波算法的非刚性目标实时跟踪
- The algorithm can switch Mean shift algorithm and Particle Filter algorithm by measurement parameter adaptively, so that we can enhance the stability of the Mean shift algorithm and enhance the real-time nature compared with traditional Particle Filter algorithm.
- 通过度量因子自适应切换MeanShift算法和粒子滤波算法,这样相对于MeanShift算法,增强了算法的鲁棒性,而相对于传统的粒子滤波器算法,增强了其实时性。
- Real-time object tracking algorithm based on particle filter and adaptive template update
- 自适应模板更新的粒子滤波实时跟踪算法
- The Bayes Rule based algorithm has the characteristics of high speed, good real-time performance, and high precision. The Particle Filter based algorithm has a higher precision, but a bad real-time performance.
- 基于贝叶斯规则的定位方法速度快,实时性好,定位精度较高;基于粒子滤波的定位方法实时性较差,但是定位精度更高。
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