Multitarget Tracking by Improved Particle Filter Based on Unscented Transform
This paper considers the problem of multitarget tracking in cluttered environment. To reduce the dependency on the noise priori knowledge, an improved particle filtering (PF) data association approach is presented based on the filter (HF). This approach can achieve higher robustness in the conditio...
Main Author: | Yazhao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/483913 |
Similar Items
-
APPLICATION OF MODIFIED UNSCENTED KALMAN FILTER AND UNSCENTED PARTICLE FILTER TO SOLVING TRACKING PROBLEMS
by: I. A. Kudryavtseva, et al.
Published: (2018-04-01) -
Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters
by: Hui Li, et al.
Published: (2012-01-01) -
An Improved Unscented Particle Filter Approach for Multi-Sensor Fusion Target Tracking
by: Junhai Luo, et al.
Published: (2020-11-01) -
GPS Tracking Loop Designs Using the Unscented Particle Filter
by: Chia-Sheng Hsu, et al.
Published: (2013) -
Innovative unscented transform–based particle cardinalized probability hypothesis density filter for multi-target tracking
by: Bo Li, et al.
Published: (2019-11-01)