Hu, et al.: Multiple model particle filter based track-before-detect for maneuvering weak target, Journal of Electronics & Information Technology, Vol.30, No.4 (2008), p.941-944.龚亚信,杨宏文,胡卫东.Multiple Model Particle Filter Based Track-before-Detect for Maneuvering Weak Target.电子与...
P., et al. A Novel Interacting Multiple Model Particle Filter for Maneuvering Target Tracking in Clutter, Progress In Electromagnetics Research C, 2013, 35, 177-191.WANG J; FAN B; LI Y;.A novel interacting multiple model particle filter for maneuvering target tracking in clutter.Progress in ...
Aiming at adverse influence of the correlation between measurement and process noise for filtering precision, a new multiple model particle filtering algorithm with correlated measurement noise and process noise is proposed. Firstly, multiple model particle filter is used as the basic framework realization...
Interactive multiple modelParticle filterVisual trackingIn visual tracking topic, developing a robust tracking method is very challenging, seen that there are many issues to look at, particularly, fast motion, target appearance changing, background......
Multiple Target Tracking Using Cheap Joint Probabilistic Data Association Multiple Model Particle Filter in Sensors Array Joint multiple target tracking and classification is an important issue in many engineering applications. Inrecent years, multiple sensor data fusion has b... M Zahir - 《International...
Distributed interacting multiple model and particle filter Considering tracking a moving speaker in an indoor environment, it is obvious that the speaker motion mode is random and diverse, for example, walking at a constant velocity, walking at a constant acceleration, standing still and so on. It...
Visual tracking based on adaptive interacting multiple model particle filter by fusing multiples cues Article 16 April 2018 Multiple features fusion based video face tracking Article 04 April 2019 Real-Time Head Pose Estimation by Tracking and Detection of Keypoints and Facial Landmarks Chapter ...
Thus, the interacting multiple model method is combined with the particle filter to cope with uncertainties in target maneuvers. Simulation results show that the proposed method is a promising substitute for the traditional imaging-based or sensor-based approaches. 展开 ...
data. In this paper, we discuss multiple-model Kalman filters that also are explicitly multi-modal. Motivated by the RoboCup SPL, we show how they can be used despite the highly multi-modal nature of sensed data and give a brief comparison with a particle filter based approach to ...
Particle filtering is being investigated extensively due to its important feature of target tracking based on nonlinear and non-Gaussian model. It tracks a trajectory with a known model at a given time. It means that particle filter tracks an arbitrary trajectory only if the time instant when tra...