Results 31 to 40 of about 27,881 (274)
Local interactions underlying collective motion in human crowds [PDF]
Proceedings of the Royal Society B: Biological Sciences, 2018 It is commonly believed that global patterns of motion in flocks, schools and crowds emerge from local interactions between individuals, through a process of self-organization. The key to explaining such collective behaviour thus lies in deciphering these local interactions.
Kevin W. Rio +2 more
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RFID-BASED USERS’ LOCALIZATION IN THE CROWDED AREAS
Iraqi Journal of Information & Communication Technology, 2021 Managing crowded areas is an extremely and difficult task. Several people might be injured or lost their lives every year because of mal organization of the crowded areas.
Noor E. Baqir, Mohammed I. Al-Nouman
doaj +1 more source
Modeling self-organization in pedestrians and animal groups from macroscopic and microscopic viewpoints [PDF]
, 2009 This paper is concerned with mathematical modeling of intelligent systems, such as human crowds and animal groups. In particular, the focus is on the emergence of different self-organized patterns from non-locality and anisotropy of the interactions ...
Cristiani, Emiliano +2 more
core +1 more source
IEEE Access, 2021 A high-definition (HD) map is becoming an integral component of future mobility systems such as autonomous and connected vehicles. Advances in computing systems, LiDAR technologies, and vehicle communication technologies have enabled the HD map to ...
Chansoo Kim +5 more
doaj +1 more source
Crowd Counting Using Multiple Local Features
2009 Digital Image Computing: Techniques and Applications, 2009 In public venues, crowd size is a key indicator of crowd safety and stability. Crowding levels can be detected using holistic image features, however this requires a large amount of training data to capture the wide variations in crowd distribution.
Ryan, David +3 more
openaire +2 more sources
Detecting high indoor crowd density with Wi-Fi localization: a statistical mechanics approach
Journal of Big Data, 2019 We address the problem of detecting highly raised crowd density in situations such as indoor dance events. We propose a new method for estimating crowd density by anonymous, non-participatory, indoor Wi-Fi localization of smart phones.
Sonja Georgievska +7 more
doaj +1 more source
A Crowd-Based Efficient Fault-Proof Localization System for IoT and MCS
IEEE Access, 2021 In this paper, an efficient and fault-proof active node selection approach for localization tasks in Internet of Things (IoT) and Mobile Crowd Sensing (MCS) systems is proposed.
Adarsh Ghimire +2 more
doaj +1 more source
Repulsion Loss: Detecting Pedestrians in a Crowd
, 2018 Detecting individual pedestrians in a crowd remains a challenging problem since the pedestrians often gather together and occlude each other in real-world scenarios.
Jiang, Yuning +5 more
core +1 more source
Crowd-Based Cognitive Perception of the Physical World: Towards the Internet of Senses
Sensors, 2020 This paper introduces a possible architecture and discusses the research directions for the realization of the Cognitive Perceptual Internet (CPI), which is enabled by the convergence of wired and wireless communications, traditional sensor networks ...
Gianni Pasolini +4 more
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Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank [PDF]
, 2019 For many applications the collection of labeled data is expensive laborious. Exploitation of unlabeled data during training is thus a long pursued objective of machine learning.
Bagdanov, Andrew D. +2 more
core +2 more sources