Results 21 to 30 of about 1,309 (169)
Multitarget-tracking Method for Airborne Radar Based on a Transformer Network
Leida xuebao, 2022 Conventional multitarget-tracking data association algorithms must have prior information, such as the target motion model and clutter density. However, such prior information cannot be obtained timely and accurately before tracking.
Wenna LI, Shunsheng ZHANG, Wenqin WANG
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Multiple object tracking using particle filters [PDF]
, 2006 The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah +11 more
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EURASIP Journal on Advances in Signal Processing, 2007 Multiple-target tracking has received tremendous attention due to its wide practical applicability in video processing and analysis applications. Most existing techniques, however, suffer from the well-known “multitarget occlusion” problem ...
Magdi Mohamed, Dan Schonfeld, Wei Qu
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Sensors, 2018 To deal with the problem of multitarget tracking with measurement origin uncertainty, the paper presents a multitarget tracking algorithm based on Adaptive Network Graph Segmentation (ANGS).
Tianli Ma +3 more
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A Data Association Algorithm for Multiple Object Tracking in Video Sequences [PDF]
, 2006 This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the ...
N. Canagarajah +7 more
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Combined data association and evolving particle filter for tracking of multiple articulated objects. [PDF]
, 2011 This paper proposes an approach for tracking multiple articulated targets using a combined data association and evolving population particle filter. A visual target is represented as a pictorial structure using a collection of parts together with a model
Mihaylova, Lyudmila +7 more
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Multitarget Tracking with Split and Merged Measurements [PDF]
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with previously estimated target trajectories in a data association step. The output of the detector is often imperfect and the detection data may include multiple, split measurements
Zia Khan +2 more
openaire +1 more source
Multitarget tracking in sensor networks via efficient information-theoretic sensor selection
International Journal of Advanced Robotic Systems, 2017 In networks composed of moving robots or static sensing nodes, multitarget tracking is critical and fundamental for high-level applications, such as scene analysis or event detection.
Ping Wang, Liang Ma, Kai Xue
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A Multisource Multi-Bernoulli Filter for Multistatic Radar
IEEE Access, 2022 Compared with conventional monostatic or bistatic radar, multistatic radar has wider coverage, better performance of localization and higher tracking accuracy.
Xueqin Zhou, Hong Ma, Jiang Jin, Hang Xu
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Underwater Bearings-Only Multitarget Tracking Based on Modified PMHT in Dense-Cluttered Environment
IEEE Access, 2019 Underwater bearings-only multitarget tracking has many advantages, and the probabilistic multiple hypothesis tracking (PMHT) is an elegant algorithm for multitarget tracking problem.
Xiaohua Li +3 more
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