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A Labeled multi-Bernoulli Filter for Multisource DOA Tracking

2019 International Conference on Control, Automation and Information Sciences (ICCAIS), 2019
This paper addresses the problem of multisource direction-of-arrival (DOA) tracking based on the labeled multi-Bernoulli (LMB) filter. In order to avoid information loss, we directly utilize the received signal at an array antenna. The normal superpositional measurement model can be used to describe the relationship between DOAs from multiple sources ...
Gaiyou Li   +3 more
openaire   +2 more sources

Multiple cell tracking by generalised labelled multi-Bernoulli filter

International Journal of Computer Applications in Technology, 2019
Cell detection and tracking in microscopy images are of great importance to medical research and related fields.
Jian Shi, Mingli Lu
openaire   +2 more sources

Multi-Bernoulli filtering for keypoint-based visual tracking

2016 International Conference on Control, Automation and Information Sciences (ICCAIS), 2016
In this paper, we consider a single object visual tracking problem using multi-object filtering technique. We represent object appearance as a multi-object distribution of keypoints. Hidden positions of keypoints are observed by using SURF feature detectors and multi-Bernoulli filtering is used for tracking of keypoints.
openaire   +1 more source

Multi-Bernoulli Filter

2023
Weihua Wu   +3 more
openaire   +1 more source

A Partitioned Poisson Multi-Bernoulli Filter

IEEE Sensors Journal, 2023
Zhenzhen Su   +3 more
openaire   +1 more source

A robust Poisson multi-Bernoulli filter for multi-target tracking based on arithmetic average fusion

Chinese Journal of Aeronautics, 2023
Yongquan Zhang   +2 more
exaly  

A Poisson multi-Bernoulli filter with target spawning

2019 22th International Conference on Information Fusion (FUSION), 2019
Zhenzhen Su, Hongbing Ji, Yongquan Zhang
openaire   +2 more sources

Consensus-Based Labeled Multi-Bernoulli Filter for Multitarget Tracking in Distributed Sensor Network

IEEE Transactions on Cybernetics, 2022
Peng Dong, Henry Leung, Kai Shen
exaly  

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