搜索结果: 1-11 共查到“target tracking”相关记录11条 . 查询时间(0.079 秒)
Intelligent Sensing and Computing in Wireless Sensor Networks for Multiple Target Tracking
Intelligent Sensing Computing Wireless Sensor Networks Multiple Target Tracking
2023/11/20
With sixth generation (6G) communication technologies, target sensing can be finished in milliseconds. The mobile tracking-oriented Internet of Things (MTT-IoT) as a kind of emerging application netwo...
Adaptive Non-myopic Quantizer Design for Target Tracking in Wireless Sensor Networks
Adaptive Non-myopic Quantizer Design Target Tracking Wireless Sensor Networks
2013/4/27
In this paper, we investigate the problem of non-myopic (multi-step ahead) quantizer design for target tracking using a wireless sensor network. Adopting the alternative conditional posterior Cramer-R...
Particle approximation of the intensity measures of a spatial branching point process arising in multi-target tracking
Spatial branching processes multi-target tracking problems
2011/2/25
The aim of this paper is two-fold. First we analyze the sequence of intensity measures of a spatial branching point process arising in a multiple target tracking context. We study its stability proper...
Performance analysis of swarm optimization approaches for the generalized assignment problem in multi-target tracking applications
Generalized assignment problem ant colony optimization particle swarm optimization data association target tracking
2010/11/22
The aim of this study is to investigate the suitability of selected swarm optimization algorithms to the generalized assignment problem as encountered in multi-target tracking applications. For this p...
Path sampling for particle filters with application to multi-target tracking
Path sampling particle filters with application multi-target tracking
2010/12/3
In recent work [15], we have presented a novel approach for improving particle filters for multi-target tracking. The suggested approach was based on Girsanov’s change of measure theorem for stochasti...
MULTI TARGET TRACKING ON AERIAL VIDEOS
Motion Compensation Motion Detection Multi Object Tracking UAV Video
2014/6/12
In this paper we propose a new method to detect and track multiple moving targets on image sequences recorded by Unmanned Aerial Vehicles (UAVs). Our approach focuses on challenging urban scenarios, w...
Underwater multiple target tracking decision making based on an analytic network process
analytic network process (ANP) underwater multi-target tracking decision tracking logic
2011/9/13
Underwater multi-target tracking logic and decision (UMTLD) has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, w...
Management of Target-Tracking Sensor Networks
Sensor network (WSN) tracking target tracking activate the nodes energy management
2014/11/7
Target tracking has emerged as an important application of sensor networks. There are two subproblems inherent to target tracking. The first is the initial location of the target as it enters the regi...
Computation of Association Probabilities for Single Target Tracking with the Use of Adaptive Neuro-Fuzzy Inference System
Target tracking data association ANFIS
2009/7/28
In this study, a simple method based on the adaptive neuro-fuzzy inference system (ANFIS) is presented for computing the association probabilities. The computed association probabilities are used to t...
Underwater multiple target tracking decision making based on an analytic network process
analytic network process (ANP) underwater multi-target tracking decision tracking logic
2011/9/13
Underwater multi-target tracking logic and decision (UMTLD) has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, w...
Application of probabilistic PCR5 Fusion Rule for Multisensor Target Tracking
Filtering Robust estimation non-Bayesian fusion rule PCR5 Particle filtering
2010/4/30
This paper defines and implements a non-Bayesian
fusion rule for combining densities of probabilities estimated
by local (non-linear) filters for tracking a moving target by
passive sensors. This r...