Results 41 to 50 of about 27,881 (274)
A Practice-Distributed Thunder-Localization System with Crowd-Sourced Smart IoT Devices
Sensors, 2023 Lightning localization is of great significance to weather forecasting, forest fire prevention, aviation, military, and other aspects. Traditional lightning localization requires the deployment of base stations and expensive measurement equipment.
Bingxian Lu +3 more
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Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation
, 2019 State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density in the image plane. While useful for this purpose, this image-plane density has no immediate physical meaning because it is subject to ...
Fua, Pascal +3 more
core +1 more source
Detecting Flow Anomalies in Distributed Systems [PDF]
, 2014 Deep within the networks of distributed systems, one often finds anomalies that affect their efficiency and performance. These anomalies are difficult to detect because the distributed systems may not have sufficient sensors to monitor the flow of ...
Chua, Freddy Chong Tat +2 more
core +3 more sources
IEEE AccessCrowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue.
Min Wang +4 more
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RMapCS: Radio Map Construction From Crowdsourced Samples for Indoor Localization
IEEE Access, 2018 Fingerprint crowdsourcing has recently been promoted as a promising solution for fingerprinting-based indoor localization systems to relieve the burden of site survey. When constructing an indoor localization map from crowd-sourced samples, the following
Yanzhen Ye, Bang Wang
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DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
, 2018 In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate crowds accurately in low density scenes, while its reliability in congested areas is downgraded ...
Gao, Chenqiang +3 more
core +1 more source
Localization in the Crowd with Topological Constraints
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 We address the problem of crowd localization, i.e., the prediction of dots corresponding to people in a crowded scene. Due to various challenges, a localization method is prone to spatial semantic errors, i.e., predicting multiple dots within a same person or collapsing multiple dots in a cluttered region.
Abousamra, Shahira +3 more
openaire +2 more sources
Crowd Counting and Individual Localization Using Pseudo Square Label
IEEE AccessRecent work in crowd counting focuses on counting over detected individuals rather than estimating the number of people in the image. However, existing crowd localization methods directly detect the head point or region of individuals, which may entail ...
Jihye Ryu, Kwangho Song
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Clustered Crowd GPS for Privacy Valuing Active Localization
IEEE Access, 2018 With the proliferation of mobile devices having BLE capability and the introduction of Beacon technology, crowdsourcing-based approaches have recently emerged as a promising solution for localization of lost objects or individuals (e.g., children or ...
Fatih Yucel, Eyuphan Bulut
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Ego-Downward and Ambient Video based Person Location Association
, 2018 Using an ego-centric camera to do localization and tracking is highly needed for urban navigation and indoor assistive system when GPS is not available or not accurate enough.
Huo, Zhouyuan +3 more
core +1 more source