Results 21 to 30 of about 7,438,644 (406)
IEEE Access, 2019 Existing extended target probability hypothesis density (ET-PHD) filters are insufficient in tracking weak extended targets. Hough transform-based track-before-detect methods are designed to detect the weak targets in a straight-line constant-velocity ...
Bo Yan +4 more
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Hyperspectral target tracking [PDF]
2011 Aerospace Conference, 2011 We introduce a non-kinematic based approach to autonomous target tracking using a new set of Independent and Indirectly Generated Attributes (IIGA) from hyperspectral imagery.12 The IIGA method addresses the detection of rare signal appearance (i.e., targets represented by a few pixels), which is often the case in remote sensing target tracking.
openaire +2 more sources
Online Multi-Target Tracking Using Recurrent Neural Networks [PDF]
AAAI Conference on Artificial Intelligence, 2016 We present a novel approach to online multi-target tracking based on recurrent neural networks (RNNs). Tracking multiple objects in real-world scenes involves many challenges, including a) an a-priori unknown and time-varying number of targets, b) a ...
Anton Milan +4 more
semanticscholar +1 more source
Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections
Sensors, 2022 This paper discusses the perception and tracking of individual as well as group targets as applied to multi-lane public traffic. Target tracking problem is formulated as a two hierarchical layer problem—on the first layer, a multi-target tracking problem
Andinet Hunde
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Angle Optimization in Target Tracking [PDF]
, 2008 ETH Technical Report ...
Gfeller, Beat +4 more
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A Review of Target Tracking Algorithm Based on Deep Neural Network [PDF]
Hangkong bingqiTarget tracking is to predict the state of the current target according to the target context information of video sequence. Deep learning is gradually widely used in the field of target tracking.
Guo Fan, Lu Xuanyu, Li Jiayi, Wang Hongmei
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Procedia Computer Science, 2019 This paper proposes, develops and evaluates a novel object-tracking algorithm that outperforms start-of-the-art method in terms of its robustness. The proposed method compromises Siamese networks, Recurrent Convolutional Neural Networks (RCNNs)\ud and Long Short Term Memory (LSTM) and performs short-term target tracking in real-time.
SEDKY, Mohamed +4 more
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Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein +7 more
wiley +1 more source
Multi-Target Tracking and Detection Based on Hybrid Filter Algorithm
IEEE Access, 2020 Wireless sensor network is a fast-growing research field. In recent years, it has attracted considerable research attention. The generation of large-scale sensor networks interconnected hundreds of sensor nodes, opening up some technical challenges and ...
Xianzhen Xu, Zhiyu Yuan, Yanping Wang
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Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion
Journal of Intelligent and Connected Vehicles, 2023 In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception, which is of great significance in ensuring the safety of ...
Quan Yuan +5 more
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