Video applications and analytics are routinely projected as a stressing and significant service of the Nationwide Public Safety Broadband Network. As part of a NIST PSCR funded effort, the New Jersey Office of Homeland Security and Preparedness and MIT Lincoln Laboratory have been developing a computer vision dataset of operational and representative public safety scenarios. The scale and scope of this dataset necessitates a hierarchical organization approach for efficient compute and storage. We overview architectural considerations using the Lincoln Laboratory Supercomputing Cluster as a test architecture. We then describe how we intelligently organized the dataset across LLSC and evaluated it with large scale imagery inference across terabytes of data.
Human-Centric Perception for Child Sexual Abuse Imagery
Universidade Federal de Minas Gerais (UFMG)（米纳斯吉拉斯联邦大学）；Federal Police of Brazil（巴西联邦警察局）；Universidade Estadual de Campinas (UNICAMP)（坎皮纳斯州立大学）；University of Sheffield（谢菲尔德大学）
Semantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety
School of Geospatial Engineering and Science, Sun Yat-sen University（地理空间工程与科学学院，中山大学）；School of Geographical and Earth Sciences, University of Glasgow（地理与地球科学学院，格拉斯哥大学）；School of Economics and Management, Shanxi University（经济学与管理学院，山西大学）
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery
Applied AI Center, Skolkovo Institute of Science and Technology, Moscow, Russia（斯克尔科沃科学与技术研究所应用人工智能中心）；Moscow Institute of Physics and Technology, Dolgoprudny, Russia（莫斯科物理技术学院）；Autonomous Non-Profit Organization Artificial Intelligence Research Institute (AIRI), Moscow, Russia（自主非营利组织人工智能研究 institute（AIRI））
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study
Clemson University（克莱姆森大学）；Northern Arizona University（北亚利桑那大学）；The University of Arizona（亚利桑那大学）；Arizona Department of Transportation（亚利桑那州交通局）；Exponent Co（Exponent公司）
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety Analysis
Department of Civil, Environmental, and Geomatic Engineering（土木、环境与测绘工程系）；University College London（伦敦大学学院）；SpaceTimeLab（时空实验室）；Department of Earth Science and Engineering（地球科学与工程系）；Imperial College London（帝国理工学院）；Centre for Transport Studies（交通研究中心）
