Description: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example Platform: |
Size: 3298 |
Author:liushan |
Hits:
Description: Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example Platform: |
Size: 3072 |
Author:liushan |
Hits:
Description: 一种用于多目标跟踪的改进PDA算法，北京理工大学学报上面的文章，、概率数据
关联滤波(p robab ility data associat ion f ilter, PDA )-A multi-target tracking algorithm improvements PDA, Beijing Institute of Technology Journal of the above articles, probabilistic data association filter (p robab ility data associat ion f ilter, PDA) Platform: |
Size: 135168 |
Author:孟钢 |
Hits:
Description: PMHT是一个优秀的跟踪算法，具有灵活性和易修正的特点。-The probabilistic multihypothesis tracker (PMHT) is a
target tracking algorithm of considerable theoretical elegance.
In practice, its performance turns out to be at best similar
to that of the probabilistic data association filter (PDAF)
and since the implementation of the PDAF is less intense
numerically the PMHT has been having a hard time finding
acceptance. The PMHT’s problems of nonadaptivity, narcissism,
and over-hospitality to clutter are elicited in this work. The
PMHT’s main selling-point is its flexible and easily modifiable
model, which we use to develop the “homothetic” PMHT
maneuver-based PMHTs, including those with separate and
joint homothetic measurement models a modified PMHT whose
measurement/target association model is more similar to that
of the PDAF and PMHTs with eccentric and/or estimated
measurement models. Platform: |
Size: 439296 |
Author:wang zhuo |
Hits:
Description: CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确-CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct Platform: |
Size: 2048 |
Author:肖恩 |
Hits:
Description: An effective approach to the detection and tracking of
small moving targets with low contrast is proposed-The detection and tracking of small moving targets in low
signal-to-noise ratio and cluttered environments is a very
important problem in surveillance and target tracking [l].
In the past two decades, extensive research has been
carried out to solve the problem, including Kalman filter,
probabilistic data association, multiple hypothesis testing
121 and etc. Platform: |
Size: 600064 |
Author:蒋星星 |
Hits:
Description: 利用最近邻域标准滤波器（NNSF）和概率数据互联滤波器（PDAF）进行航迹绘制并进行相互比较。-Use nearest neighbor standard filter (NNSF) and probabilistic data association filter (PDAF) be drawn and compared with each other track. Platform: |
Size: 1024 |
Author:汪望松 |
Hits:
Description: The fuzzy recursive least squares-probabilistic data association (FRLS-PDA) filter is presented for tracking single
maneuvering target in cluttered situations with unknown process noises. In the proposed filter, the association
probabilities of the current valid measurements belonging to a motion target are calculated by the probabilistic
data association (PDA) algorithm. Platform: |
Size: 829440 |
Author:devil1979
|
Hits:
Description: Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detection range, strong anti-stealth ability,
the capability of the long early warning time, and so on.
In OTHR, a significant problem is the effect of multipath
propagation, which causes multiple detections via
different propagation paths for a target with missed detections
and false alarms at the receiver [1–6]. Nevertheless,
the conventional tracking algorithms, such as
probabilistic data association (PDA) [7–9], presume that
a single-measurement per target, it may consider the
other measurements of the same target as clutter, and
multiple tracks are produced when a single target is
present. Therefore, these methods cannot effectively
solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement
per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is
not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set
statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments.
First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive
the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal
with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided
to demonstrate the effectiveness of the proposed filter.) Platform: |
Size: 18432 |
Author:ioeyoyo |
Hits:
Search - probabilistic data association filter