Results 41 to 50 of about 1,285,340 (283)
Single Convolutional Neural Network With Three Layers Model for Crowd Density Estimation
IEEE Access, 2022 Crowd density estimation is an important topic in computer vision due to its widespread applications in surveillance, urban planning, and intelligence gathering.
Adal Alashban +3 more
doaj +1 more source
On Crowd Density Estimation for Surveillance
, 2006 The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of
Rahmalan, Hidayah +5 more
core +2 more sources
Leveraging Human-AI Collaboration in Crowd-Powered Source Search: A Preliminary Study
Journal of Social Computing, 2023 Source search is an important problem in our society, relating to finding fire sources, gas sources, or signal sources. Particularly, in an unexplored and potentially dangerous environment, an autonomous source search algorithm that employs robotic ...
Yong Zhao +3 more
doaj +1 more source
A novel simulation framework for crowd co-decisions
International Journal of Crowd Science, 2020 PurposeThe purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between ...
Xia Yao, Hongbo Sun, Baode Fan
doaj +1 more source
A configurable agent-based crowd model with generic behaviour effect representation mechanism [PDF]
, 2014 Most of the existing crowd models were designed for specific behaviors or scenarios (e.g., emergency evacuations and bi-directional crowd flows). Significant modifications were often required to accommodate new behaviors or new scenarios.
Sun, Q, Wu, Song, Sun, Quanbin, Wu, S
core +1 more source
A Crowd Equivalence-Based Massive Member Model Generation Method for Crowd Science Simulations
International Journal of Crowd Science, 2022 Crowd phenomena are widespread in human society, but they cannot be observed easily in the real world, and research on them cannot follow traditional ways. Simulation is one of the most effective means to support studies about crowd phenomena.
Aoqiang Xing, Hongbo Sun
doaj +1 more source
, 2021 Social sensing has emerged as a pervasive and scalable sensing paradigm to collect observations of the physical world from human sensors. A key advantage of social sensing is its infrastructure-free nature.
Zhang, Yang +5 more
core +1 more source
A Computational Model of Crowds for Collective Intelligence
CoRR, 2014 In this work, we present a high-level computational model of IT-mediated crowds for collective intelligence. We introduce the Crowd Capital perspective as an organizational-level model of collective intelligence generation from IT-mediated crowds, and specify a computational system including agents, forms of IT, and organizational knowledge.
John Prpic +2 more
openaire +2 more sources
Simulation of Crowd Problems for Computer Vision [PDF]
, 2005 This work presents an approach for generating video evidence of dangerous situations in crowded scenes. The scenarios of interest are those with high safety risk such as blocked exit, collapse of a person in the crowd, and escape panic.
Fisher, Bob, Andrade, Ernesto
core
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source