نتایج جستجو برای: multiple target tracking

تعداد نتایج: 1213051  

In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special f...

2012
Chen - Chien Hsu Guo - Tang Dai

This paper presents a particle swarm optimization (PSO) based approach for multiple object tracking based on histogram matching. To start with, gray-level histograms are calculated to establish a feature model for each of the target object. The difference between the gray-level histogram corresponding to each particle in the search space and the target object is used as the fitness value. Multi...

عباس پور, جواد, معلم, پیمان, معمار مقدم, علیرضا, کاوش تهرانی, مسعود,

The mean shift algorithm is one of the popular methods in visual tracking for non-rigid moving targets. Basically, it is able to locate repeatedly the central mode of a desirable target. Object representation in mean shift algorithm is based on its feature histogram within a non-oriented individual kernel mask. Truly, adjusting of the kernel scale is the most critical challenge in this method. ...

ژورنال: کنترل 2019

In this paper, an optimization problem for the observer trajectory in the bearings-only surface moving target tracking (BOT) is studied. The BOT depends directly on the observability of the target's position in the target/observer geometry or the optimal observer maneuver. Therefore, the maximum lower band of the Fisher information matrix is opted as an independent criterion of the target estim...

Journal: :Applied sciences 2022

Hypersonic targets have complex motion states and high maneuverability. The traditional interactive multi-model (IMM) has low tracking accuracy a slow convergence speed. Therefore, this paper proposes strong cubature Kalman filter (CKF) adaptive (AIMM) based on multiple fading factors. Firstly, analyzes the structure of CKF algorithm, introduces factor algorithm into covariance matrix time upda...

Journal: :JNW 2012
Weizheng Ren Yansong Cui

In order to solve speed and accuracy problems of maneuvering target tracking in wireless sensor networks, a Rough Set and neural network Adaptive Interacting Multiple Model (RSAIMM) tracking algorithm was proposed. Based on the establishment of target movement model and rough set neural integration adaptive model, a decision making method which combined rough set theory and neural network was u...

Journal: :EURASIP Journal on Advances in Signal Processing 2013

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