<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Anomaly Localization at High-Density Crowd Using Motion Shape Image (MSI)"^^ . "Anomaly localization plays a critical role if a disaster occurs in a high-density crowd to efficiently rescue the crowd from the right location. This paper enriches anomaly localization by introducing new localization features, in addition to the �only� localization feature of source/start point detection existing literature offers. New features introduced include crowd density estimation in localized regions and direction/angle of a localized region. A motion shape image (MSI) based approach is introduced for localization and features detection and experimentation is performed on benchmark and our proposed high-density crowd datasets. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd."^^ . "2022" . . "758" . . "Springer Science and Business Media Deutschland GmbH"^^ . . "Springer Science and Business Media Deutschland GmbH"^^ . . . "Lecture Notes in Electrical Engineering"^^ . . . "18761100" . . . . . . . . . . . . . . . . "S."^^ . "Daud Khan"^^ . "S. Daud Khan"^^ . . "Y."^^ . "Saleh"^^ . "Y. Saleh"^^ . . "M.N."^^ . "Mohamad Saad"^^ . "M.N. Mohamad Saad"^^ . . "M.U."^^ . "Farooq"^^ . "M.U. Farooq"^^ . . . . . "HTML Summary of #17417 \n\nAnomaly Localization at High-Density Crowd Using Motion Shape Image (MSI)\n\n" . "text/html" . .