Results 51 to 60 of about 3,081,373 (191)
A Labeled Multi-Bernoulli Filter Based on Maximum Likelihood Recursive Updating
IET Signal ProcessingA labeled multi-Bernoulli filter is used to obtain estimates of the identities and states of targets in complex environments. However, when tracking multiple targets in dense clutters, the computational complexity of the traditional labeled multi ...
Yuhan Song +4 more
doaj +1 more source
AlgorithmsThe Poisson multi-Bernoulli mixture (PMBM) filter is an effective approach for multi-object tracking in complex scenarios. However, its performance deteriorates when surviving objects spawn, as the PMBM filter only classifies detected objects as either ...
Youpeng Sun +5 more
doaj +1 more source
Revolutionizing Healthcare With Paper‐Based Nucleic Acid Testing
Exploration, EarlyView.This work summarizes strategies to enhance paper‐based devices for nucleic acid testing. Key approaches include optimizing paper platforms, improving nucleic acid amplification, and refining labeling/signaling methods. These advancements aim to boost sensitivity, speed, and usability, making paper‐based diagnostics more effective for point‐of‐care ...
Hong Zhang +8 more
wiley +1 more source
Hybrid Poisson and multi-Bernoulli filters
CoRR, 2012 Submitted to 15th International Conference on Information Fusion (2012)
openaire +4 more sources
Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam
River Research and Applications, EarlyView.ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås +5 more
wiley +1 more source
Wildlife Biology, EarlyView.Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley +1 more source
Multiple Maneuvering Targets Tracking Using MM-CBMeMBer Filter
Leida xuebao, 2012 The existing multiple model hypothesis density filter can estimate the number and state of maneuvering targets at the same time. Yet its Sequential Monte Carlo (SMC) implementation involves clustering algorithm, which is unstable and time consuming, and ...
Xiong Bo, Gan Lu
doaj +1 more source
Wildlife Society Bulletin, EarlyView.We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes +5 more
wiley +1 more source
Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate
Sensors, 2018 This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate.
Shaoming He +2 more
doaj +1 more source
A Novel MS-MeMBer Filter for Extended Targets Tracking
IEEE Access, 2020 Conventional multi-sensor multi-target multi-Bernoulli (MS-MeMBer) filters are based on the assumption that each target produces at most one measurement per time step.
Zhiguo Zhang +4 more
doaj +1 more source