Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3155812
Abstract: Wireless sensing represented by WiFi channel state information (CSI) is now enabling various fields of applications such as person identification, human activity recognition, occupancy detection, localization, and crowd estimation these days. So far, those fields… read more here.
Keywords: crowd counting; localization; machine learning; state ... See more keywords
Crowd Counting and Localization Beyond Density Map
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224429
Abstract: Crowd analysis in general and counting in congested scenes, in particular, is an effective and vibrant research domain in computer vision due to its numerous applications. Understanding the risk analysis and safety aspects of crowd… read more here.
Keywords: density; counting localization; crowd; density map ... See more keywords
Meta-Learning-Based People Counting and Localization Models Employing CSI From Commodity Wi-Fi NICs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3614208
Abstract: In this article, we consider people counting and localization systems exploiting channel state information (CSI) measured from commodity Wi-Fi network interface cards (NICs). CSI has useful information of amplitude and phase to describe signal propagation… read more here.
Keywords: localization models; people counting; meta learning; learning based ... See more keywords
PGMP: A Device-Free Moving Object Counting and Localization Approach in the Varying Environment
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2020.2988693
Abstract: Targets to be localized in the Device-Free Localization (DFL) scheme are generally moving, making the location vectors hold different supports. However, the existing Multiple Measurement Vectors (MMV) algorithms need the estimated vectors to own the… read more here.
Keywords: counting localization; moving object; device free; object counting ... See more keywords
Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3460482
Abstract: The count supervision used in weakly-supervised crowd counting is derived from the number of point annotations, which means that the labeling cost is not effectively reduced. Moreover, due to the lack of spatial information about… read more here.
Keywords: counting localization; point wise; crowd counting; synthetic data ... See more keywords
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.3013269
Abstract: In the last decade, crowd counting and localization attract much attention of researchers due to its wide-spread applications, including crowd monitoring, public safety, space design, etc. Many convolutional neural networks (CNN) are designed for tackling… read more here.
Keywords: nwpu crowd; mml; counting localization; crowd counting ... See more keywords