Results 41 to 50 of about 121,728 (258)

Research on a multi-target detection and tracking algorithm

open access: yesJournal of Hebei University of Science and Technology, 2022
Aiming at the problems of poor real-time performance and easy drift in the existing research methods in the field of multi-target tracking,a multi-target detection and tracking algorithm was proposed based on YOLOv3 algorithm and KCF algorithm.Firstly ...
Wenhuan YANG, Yu ZHAI, Yaping YIN
doaj   +1 more source

Research on detection and tracking methods of unmanned ship water targets based on light vision [PDF]

open access: yesZhihui kongzhi yu fangzhen
This study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments.
LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao
doaj   +1 more source

Multi-target visual tracking with aerial robots [PDF]

open access: yes2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
We study the problem of tracking mobile targets using a team of aerial robots. Each robot carries a camera to detect targets moving on the ground. The overall goal is to plan for the trajectories of the robots in order to track the most number of targets, and accurately estimate the target locations using the images.
Pratap Tokekar   +2 more
openaire   +2 more sources

Visual-attention gabor filter based online multi-armored target tracking

open access: yesDefence Technology, 2021
The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT.
Fan-jie Meng   +5 more
doaj   +1 more source

Concurrent Multi-Target Tracking [PDF]

open access: yesProceedings of the Fifth Distributed Memory Computing Conference, 1990., 2005
Simulation89 is an emulation of various SDI tasks (tracking, engagement management and ‘look ahead’) developed for the U. S. Air Force. The simulation presently deals with the boost, post-boost and early midcourse phases of a ’mass raid’ scenario, and is designed to process scenarios with a few thousand targets.
openaire   +2 more sources

Information Consensus for Distributed Multi-target Tracking [PDF]

open access: yes2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Due to their high fault-tolerance, ease of installation and scalability to large networks, distributed algorithms have recently gained immense popularity in the sensor networks community, especially in computer vision. Multi-target tracking in a camera network is one of the fundamental problems in this domain.
Ahmed Tashrif Kamal   +2 more
openaire   +2 more sources

A GM-JMNS-CPHD Filter for Different-Fields-of-View Stochastic Outlier Selection for Nonlinear Motion Tracking

open access: yesSensors
Most multi-target movements are nonlinear in the process of movement. The common multi-target tracking filtering methods directly act on the multi-target tracking system of nonlinear targets, and the fusion effect is worse under the influence of ...
Liu Wang   +4 more
doaj   +1 more source

A Dynamic and Adaptive Selection Radar Tracking Method Based on Information Entropy

open access: yesLeida xuebao, 2017
Nowadays, the battlefield environment has become much more complex and variable. This paper presents a quantitative method and lower bound for the amount of target information acquired from multiple radar observations to adaptively and dynamically ...
Ge Jianjun, Li Chunxia
doaj   +1 more source

Adaptive Tracking of High-Maneuvering Targets Based on Multi-Feature Fusion Trajectory Clustering: LPI’s Purpose

open access: yesSensors, 2022
Since the passive sensor has the property that it does not radiate signals, the use of passive sensors for target tracking is beneficial to improve the low probability of intercept (LPI) performance of the combat platform.
Lei Wei   +4 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

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