JPDAS Multi-Target Tracking Algorithm for Cluster Bombs Tracking
نویسندگان
چکیده
منابع مشابه
Distributed Asynchronous Algorithm for Collaborative Multi-UAV Multi-Target Tracking
The use of mobile sensor networks for multi-target tracking is an active research field. This paper describes the application of a novel two-layer relaxation for high-level control and coordination of UAVs to optimally track a set of moving targets considering a limited resources scenario. Using a singlebest tracking criterion, the scheme deploys distributed algorithms constrained to ensure ful...
متن کاملMathematical Analysis of Optimal Tracking Interval Management for Power Efficient Target Tracking Wireless Sensor Networks
In this paper, we study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects howev...
متن کاملQuadrotor UAV Guidence For Ground Moving Target Tracking
The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper , a coordination of two types of heterogeneous robots , namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. In this paper the UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the ...
متن کاملResearch on Multi-Sensor Multi-Target Tracking Algorithm
The tracking performance of JPDA-based algorithms will be decreased with the increase of sensors amount and clutter density. Thus it is necessary to find out a multi-sensor data fusion tracking algorithm which has lower computation and higher tracking accuracy. Since the motion direction of the targer is viewed as a key factor in data correlation, the pseudodirection tracking gate can be improv...
متن کاملAn Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm
In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Korean Institute of Electromagnetic Engineering and Science
سال: 2016
ISSN: 1226-3133
DOI: 10.5515/kjkiees.2016.27.6.545