The 1st Workshop on
Intelligent Crowd Engineering (ICE)
October 27-30 (Half-Day), 2024
Abu Dhabi, UAE
in conjunction with IEEE International Conference on Image Processing (ICIP) 2024
Call for Papers
Crowd events such as festivals, concerts, shopping, sports, political (protests), and religious events (Hajj or Kumbha Mela) are a significant part of modern human society that can occur anywhere and at any time. Unfortunately, human casualties due to chaotic stampedes at crowd events and the transmission of infectious diseases, exemplified by the COVID-19 pandemic, however, implicate pervasive deficiency and call for effective crowd safety control and management mechanisms.
Machine Learning (ML) methodologies have been applied to crowd counting and density estimation, drawing inspiration from advancements in computer vision and video surveillance paradigms. These technological interventions are strategically designed to mitigate the risk of personal injuries and fatalities amidst densely populated gatherings, including political rallies, entertainment events, and religious congregations. Despite these advancements, contemporary crowd safety management frameworks must be more prominent in their precision, scalability, and capability to perform nuanced crowd characterization in real-time. These deficiencies encompass challenges such as detailed group dynamics analysis, the assessment of occlusions' impacts, and the execution of adequate mobility, contact tracing, and social distancing strategies.
This inaugural Intelligent Crowd Engineering (ICE) workshop is to bring together eminent scientists, researchers, and engineers, to present and discuss novel crowd safety challenges, broaching cutting-edge topics, and unveiling emerging technologies that transcend conventional crowd-counting methodologies. The ICE calls for diverse technological spectrums, including ML, Artificial Intelligence (AI), and the Internet of Things (IoT), alongside social modeling and integration frameworks to substantially ameliorate crowd safety management systems' precision, scalability, and real-time operational efficacy.
This workshop plans to integrate comprehensive approaches encompassing pivotal aspects of crowd engineering including but not limited to:
Trustworthy visual data processing and knowledge processing
An IoT-enabled mobility characterization
An ML-augmented video surveillance
Semantic information-driven application support
Important Dates
Paper Submission Deadline: May 9, 2024
Paper Acceptance Notification: June 6, 2024
Important Information
Authors should be aware:
All accepted papers must be accompanied by at least one full-rate registration.
Any paper accepted into the technical program, but not presented by an author according to the conference policies will be withdrawn from the official proceedings archived on IEEE Xplore.