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Kalman
- 跟踪滤波的目的是根据已获得的目标观测数据对目标的状态进行精确估计,跟踪滤波的关键是对机动目标的跟踪能力,机动目标跟踪的主要困难在于跟踪设定的目标模型与实际的目标动力学模型的匹配问题。 -The purpose of tracking filter is based on objective observational data has been the target of the state accurately estimate the key to tracking filter for
qaolun
- 匹配追踪和正交匹配追踪,多目标跟踪的粒子滤波器,本科毕设要求参见标准测试模型。- Matching Pursuit and orthogonal matching pursuit, Multi-target tracking particle filter, Undergraduate complete set requirements refer to the standard test models.
tensen_v87
- 粒子图像分割及匹配均为自行编制的子例程,均值便宜跟踪的示例,算法优化非常好,几乎没有循环。- Particle image segmentation and matching subroutines themselves are prepared, Example tracking mean cheap, Algorithm optimization is very good, almost no circulation.
qenqun_V1.0
- 粒子图像分割及匹配均为自行编制的子例程,完整的图像处理课设,包含所有源代码,汽车图像,均值便宜跟踪的示例。- Particle image segmentation and matching subroutines themselves are prepared, Complete class-based image processing, contains all of the source code, auto image, Example tracking mean cheap.