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Crowd counting via Localization Guided Transformer
Computers and Electrical Engineering, 2022Hefeng Wu
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Crowd Multi Prediction: Single Network for Crowd Counting, Localization and Anomaly Detection
2023 IEEE International Conference on Consumer Electronics (ICCE), 2023Muhammet Furkan Coskun +1 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Imbalanced data distribution in crowd counting datasets leads to severe under-estimation and over-estimation problems, which has been less investigated in existing works. In this paper, we tackle this challenging problem by proposing a simple but effective locality-based learning paradigm to produce generalizable features by alleviating sample bias ...
Joey Tianyi, Zhou +6 more
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Imbalanced data distribution in crowd counting datasets leads to severe under-estimation and over-estimation problems, which has been less investigated in existing works. In this paper, we tackle this challenging problem by proposing a simple but effective locality-based learning paradigm to produce generalizable features by alleviating sample bias ...
Joey Tianyi, Zhou +6 more
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Proceedings of the 8th ACM Conference on Web Science, 2016
Event attendees post about their experiences on social media. We propose a novel approach for analyzing these posts to extract ongoing events. We gather posts from Twitter and Instagram and perform a number of processing steps to identify posts related to events based on hashtags and location information.
Søren B. Ranneries +5 more
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Event attendees post about their experiences on social media. We propose a novel approach for analyzing these posts to extract ongoing events. We gather posts from Twitter and Instagram and perform a number of processing steps to identify posts related to events based on hashtags and location information.
Søren B. Ranneries +5 more
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Crowd localization: Threats and solutions
2017 Global Information Infrastructure and Networking Symposium (GIIS), 2017The use of Bluetooth Low Energy (BLE) recently became famous in crowd localization services. In this article we show that such service induces significant threats and we propose a scheme that achieves privacy preserving crowd localization. Crowd localization applications leverage all their users to perform periodic BLE scan and detect the nearby ...
Issoufaly, Taher, Tournoux, Pierre Ugo
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Crowd Abnormality Detection and Localization
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, 2014Abnormality detection in crowded scenes plays a very important role in automatic monitoring of surveillance feeds. Here we present a novel framework for abnormality detection in crowd videos. The key idea of the approach is that rarely or sparsely occurring events correspond to abnormal activities while the commonly occurring events correspond to the ...
Vikas Gupta, Soma Biswas
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Learning Crowd Scale and Distribution for Weakly Supervised Crowd Counting and Localization
IEEE Transactions on Circuits and Systems for Video TechnologyYaowu Fan, Jia Wan, Jinhua
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Accurate indoor localization with crowd sensing
2016 IEEE International Conference on Communications (ICC), 2016Indoor localization is an important primitive that can enable many ubiquitous computing applications. This paper improves the scheme of landmark and inertial navigation through crowd sensing to address reliable and accurate indoor localization. The location of landmark can calibrate the location of user and inertial navigation can optimize the location
Yingying Guo +4 more
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The Journal of Physical Chemistry B
Every residue on a protein can be characterized by its interaction with water, in lack or in excess, as water is the matrix of biological systems. Infrared spectroscopy and the implementation of local azidohomoalanine (AHA) probes allow us to move beyond an ensemble or surface-driven conceptualization of water behavior and toward a granular, site ...
Joseph C. Shirley, Carlos R. Baiz
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Every residue on a protein can be characterized by its interaction with water, in lack or in excess, as water is the matrix of biological systems. Infrared spectroscopy and the implementation of local azidohomoalanine (AHA) probes allow us to move beyond an ensemble or surface-driven conceptualization of water behavior and toward a granular, site ...
Joseph C. Shirley, Carlos R. Baiz
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Visual localization in highly crowded urban environments
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013Visual localization in crowded dynamic environments requires information about static and dynamic objects. This paper presents a robust method that learns the useful features from multiple runs in highly crowded urban environments. Useful features are identified as distinctive ones that are also reliable to extract in diverse imaging conditions ...
Hafez A.H.A. +3 more
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