Search Results - IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications

Target Adaptive Tracking Based on GOTURN Algorithm with Convolutional Neural Network and Data Fusion by Li, Zhengze, Xu, Jiancheng

“…) tracking algorithm, this paper takes the most popular convolutional neural network in the current target-tracking field as the basic network structure and proposes an improved GOTURN target-tracking…”
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An algorithm for multi-sensor data fusion target tracking by Liu Guo-cheng, Wang Yong-ji

“…The principle of target tracking and data fusion techniques are discussed. To resolve enormous uncertainty that exists in sensors of mobile robots, the cross-sensor and cross-modality(CSCM…”
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Spatial Target Tracking Algorithm Based on Heterogeneous Sensors Data Fusion by Xu, Yuan, Dong, Jian, Bai, Jinliang, Zhang, Xinyu, Zhang, Ran

“… The simulation example is given. The results show that this is an effective method for heterogeneous data fusion to track space targets…”
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Distributed data fusion algorithms for tracking a maneuvering target by Li-Wei Fong

“…) and information matrix fusion (IMF), in a multi-sensor environment for computing the fused estimates from distributed Kahnan filters tracking a single maneuvering target…”
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Stern target tracking algorithm based on data fusion by Qiu, Boxiang, Wang, Xinwei, Gan, Xingli, Li, Xiangning

“…This paper proposes a stern target detection and tracking algorithm based on multi-sensor decision-level fusion…”
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Application of Data Sensor Fusion Using Extended Kalman Filter Algorithm for Identification and Tracking of Moving Targets from LiDAR–Radar Data by Montañez, Oscar Javier, Suarez, Marco Javier, Fernandez, Eduardo Avendano

“… The resolution in the acquisition of data can be improved by integrating data sensor fusion systems to measure the same physical phenomenon from two or more sensors…”
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Cluster-based centralized data fusion for tracking maneuvering targets using interacting multiple model algorithm by Vaidehi, V., Kalavidya, K., Gandhi, S. Indira

“… Tracking accuracy can be further improved using data fusion. Tracking of multiple targets using multiple sensors and fusing them at a central site using centralized…”
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Research on Data Fusion Algorithm Based on Deep Learning in Target Tracking by Wu, Huihui

“…) into a deep long and short-term memory network, developed a new network structure and designed a fusion strategy, an eye tracking data fusion algorithm based on long and short-term memory network is proposed…”
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Measurement Data Fusion Based on Optimized Weighted Least-Squares Algorithm for Multi-Target Tracking by He, Xinxin, Wang, Tao, Liu, Wei, Luo, Tao

“… on range-based multi-target tracking in wireless sensor networks. In this paper, we develop an improved weighted least-square algorithm based on an enhanced non-naive Bayesian classifier (ENNBC) method…”
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Retracted: Target Adaptive Tracking Based on GOTURN Algorithm with Convolutional Neural Network and Data Fusion by Intelligence and Neuroscience, Computational

“…[This retracts the article DOI: 10.1155/2021/4276860.]…”
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An algorithm based on hierarchical clustering for multi-target tracking of multi-sensor data fusion by Wang, Hao, Liu, Tangxing, Bu, Qing, Yang, Bo

“…This paper proposes an efficient algorithm to deal with multi-target tracking of multi-sensor data fusion…”
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Multi sensor data fusion algorithms for target tracking using multiple measurements by Anitha, R., Renuka, S., Abudhahir, A.

“… The objective of this work is to evaluate multi sensor data fusion algorithms for target tracking…”
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Data fusion algorithms for sea target tracking using coastal radar model by Vervecka, Martynas

“… Sea target tracking algorithm is modeled, coast radar system model implemented, multiple ships tracking and detection is tested…”
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Fast Data Fusion algorithm for tracking maneuvering target by vehicle formation by Runle Du, Jiaqi Liu, Yonghai Wang, Zhifeng Li, Chunyue Gao

“…When multiple flying vehicles with bearing-only tracking collaborate in locating a target, observation data fusion is required to compensate the drift of navigation system, the noise from observation…”
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Multiple arrays multiple targets data fusion and tracking based on TDOA measurement using FCM-JPDA algorithm by JinYu He, YiJian Yan, Qiao Meng

“…) method for multi-target tracking based on TDOA (time difference of arrival) measurements. This method is used in a tracking system with an array group which has several subarrays…”
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Target Ship Recognition and Tracking with Data Fusion Based on Bi-YOLO and OC-SORT Algorithms for Enhancing Ship Navigation Assistance by Chen, Shuai, Gao, Miao, Shi, Peiru, Zeng, Xi, Zhang, Anmin

“… Then, a perception data fusion framework based on ship spatio-temporal trajectory features (ST-TF) was proposed to match GPS-based ship information with corresponding visual target information…”
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Multi-platform multi-target tracking fusion via covariance intersection: using fuzzy optimised modified Kalman filters with measurement noise covariance estimation by Wren, T.J, Mahmood, A

“…Presented in this paper is a detailed novel approach to tracking multiple moving targets from multiple moving platforms and fusing the individual estimates within platform centric nodes via covariance intersection…”
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Fusion of novel biometrics for human tracking and identification by Nothard, J, Hargreaves, J, Goffredo, M, Nixon, P.M, Carter, J, Pearce, D, Harvey, C

“…QinetiQ and Southampton University are engaged in a programme on fusion of novel biometrics for real-world secure environments…”
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Multi-sensor debris tracking by Welford, J

“…We discuss the problem of tracking numerous debris objects originating from a point source, such as fragments produced by a collision or explosion…”
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Tracking multiple targets from a mobile robot platform using a laser range scanner by Kondaxakis, P, Kasderidis, S, Trahanias, P

“… The algorithm utilizes real laser-scanner data to dynamically extract moving objects from their background environment, using a time-fading grid map method, and tracks the identified targets…”
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