Discovering anomalous events from urban informatics data

• Main Authors: JAYARAJAH, Kasthuri, SUBBARAJU, Vigneshwaran, KAVEESHA WEERAKOON MUDIYANSELAGE, Dulanga, MISRA, Archan, TAM, La Thanh, ATHAIDE, Noel
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Multi-Modal Sensing; Urban Analytics; Information Fusion; Event Detection; Artificial Intelligence and Robotics; Databases and Information Systems; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3818; https://ink.library.smu.edu.sg/context/sis_research/article/4820/viewcontent/anomalous_events_SPIE17.pdf
• Institution: Singapore Management University

Singapore's "smart city" agenda is driving the government to provide public access to a broader variety of urban informatics sources, such as images from traffic cameras and information about buses servicing different bus stops. Such informatics data serves as probes of evolving condi...