{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/detection-of-salient-regions-in-crowded","title":"Detection of Salient Regions in Crowded Scenes","arxiv_id":"1410.3932","date":"2014-10-15","proceeding":null,"authors":["Mei Kuan Lim","Chee Seng Chan","Dorothy Monekosso","Paolo Remagnino"],"abstract":"The increasing number of cameras and a handful of human operators to monitor\nthe video inputs from hundreds of cameras leave the system ill equipped to\nfulfil the task of detecting anomalies. Thus, there is a dire need to\nautomatically detect regions that require immediate attention for a more\neffective and proactive surveillance. We propose a framework that utilises the\ntemporal variations in the flow field of a crowd scene to automatically detect\nsalient regions, while eliminating the need to have prior knowledge of the\nscene or training. We deem the flow fields to be a dynamic system and adopt the\nstability theory of dynamical systems, to determine the motion dynamics within\na given area. In the context of this work, salient regions refer to areas with\nhigh motion dynamics, where points in a particular region are unstable.\nExperimental results on public, crowd scenes have shown the effectiveness of\nthe proposed method in detecting salient regions which correspond to unstable\nflow, occlusions, bottlenecks, entries and exits.","url_abs":"http://arxiv.org/abs/1410.3932v1","url_pdf":"http://arxiv.org/pdf/1410.3932v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"crowd-dataset","name":"Crowd Dataset","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}