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[Mathimatics-Numerical algorithmsrun_tracker.m

Description: A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.
Platform: | Size: 1024 | Author: Aka | Hits:

[OtherIMM

Description: (交互式多模型算法)目标跟踪程序,java语言编写,包含了kalman滤波。这种方法的特点是在各模型之间“转换”,自动调节滤波带宽,和适合机动目标的跟踪。可以直接调用,附有示例代码-A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.
Platform: | Size: 14336 | Author: june | Hits:

[matlabekfukf_1_3

Description: Kalman 滤波和平滑工具箱,包括了 Kalman 滤波和平滑 EKF 和 平滑 CKF 和平滑 UKF 和平滑 GHQF 和平滑 IMM 滤波和平滑-EKF/UKF is an optimal filtering toolbox for Matlab. Optimal filtering is a frequently used term for a process, in which the state of a dynamic system is estimated through noisy and indirect measurements. This toolbox mainly consists of Kalman filters and smoothers, which are the most common methods used in stochastic state-space estimation. The purpose of the toolbox is not to provide highly optimized software package, but instead to provide a simple framework for building proof-of-concept implementations of optimal filters and smoothers to be used in practical applications. Including: 1. Kalman filters and smoothers 2. Extended Kalman filters and smoothers 3. Unscented Kalman filters and smoothers 4. Gauss-Hermite Kalman filters and smoothers 5. Cubature Kalman filters and smoothers 6. Interacting Multiple Model (IMM) filters and smoothers
Platform: | Size: 150528 | Author: yinchao | Hits:

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