Results 331 to 340 of about 7,438,644 (406)

Target recognition and tracking

International Journal of Systems Science, 2001
Advances in image and signal processing permit implementation of sophisticated sensor fusion algorithms for tracking and target identification. The polymoprhic estimator (PME) accomplishes these tasks simultaneously. However, it has been observed that there is an identification bias toward more languorous targets.
John E. Boyd, David D. Sworder
openaire   +2 more sources

Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking

IEEE Transactions on Vehicular Technology, 2020
Multi-frame track-before-detect (MF-TBD) is a model-based batch processing method. Assuming a particular model for the evolution of target states (e.g.
Wei Yi, Zicheng Fang, Wujun Li, R. Hoseinnezhad, L. Kong   +4 more
semanticscholar   +1 more source

SiamBAN: Target-Aware Tracking With Siamese Box Adaptive Network

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Variation of scales or aspect ratios has been one of the main challenges for tracking. To overcome this challenge, most existing methods adopt either multi-scale search or anchor-based schemes, which use a predefined search space in a handcrafted way and
Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji, Zhenjun Tang, Xianxian Li   +6 more
semanticscholar   +1 more source

A tracking algorithm of maneuvering targets

[1992] Proceedings of the 31st IEEE Conference on Decision and Control, 1993
A methodology for the tracking of maneuvering targets is presented. The authors' algorithm uses a quickest detection scheme based on the innovation sequence that minimizes the maneuver detection delay. Their approach also includes a recursive technique to maneuver magnitude estimation and a modified Kalman filter that incorporates the maneuver ...
Pramod K. Varshney, T.C. Wang
openaire   +3 more sources

Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

ECCV Workshops, 2016
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii ...
Ergys Ristani, Francesco Solera, Roger S. Zou, R. Cucchiara, Carlo Tomasi   +4 more
semanticscholar   +1 more source

Tracking target and spiral waves

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2002
A new algorithm for analyzing the evolution of patterns of spiral and target waves in large aspect ratio chemical systems is introduced. The algorithm does not depend on finding the spiral tip but locates the center of the pattern by a new concept, called the spiral focus, which is defined by the evolutes of the actual spiral or target wave.
Jensen, Flemming G., Sporring, Jon, Nielsen, Mads, Sørensen, Preben Graae   +3 more
openaire   +4 more sources

Thermal Infrared Target Tracking: A Comprehensive Review

IEEE Transactions on Instrumentation and Measurement
Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in auxiliary driving, unmanned aerial vehicle reconnaissance ...
Di Yuan, Haiping Zhang, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi   +6 more
semanticscholar   +1 more source

Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics

IEEE Transactions on Neural Networks and Learning Systems, 2019
This paper is concerned with the target tracking of underactuated autonomous surface vehicles with unknown dynamics and limited control torques. The velocity of the target is unknown, and only the measurements of line-of-sight range and angle are ...
Lu Liu, Dan Wang, Zhouhua Peng, C. L. Philip Chen, Tie-shan Li   +4 more
semanticscholar   +1 more source

Adaptive Consensus-Based Distributed Target Tracking With Dynamic Cluster in Sensor Networks

IEEE Transactions on Cybernetics, 2019
This paper is concerned with the target tracking problem over a filtering network with dynamic cluster and data fusion. A novel distributed consensus-based adaptive Kalman estimation is developed to track a linear moving target.
H. Zhang, Xue Zhou, Zhuping Wang, Huaicheng Yan, Jian Sun   +4 more
semanticscholar   +1 more source

Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning

IEEE Transactions on Automation Science and Engineering, 2019
The aspect ratio of a target changes frequently during an unmanned aerial vehicle (UAV) tracking task, which makes the aerial tracking very challenging.
Wei Zhang, Ke Song, Xuewen Rong, Yibin Li   +3 more
semanticscholar   +1 more source