Violence Detection and Localization in Surveillance Video Roman D.G.C. es_PE Chavez G.C. es_PE 2024-05-30T23:13:38Z 2024-05-30T23:13:38Z 2020
dc.description.abstract Automatic violence detection in video surveillance is crucial for social and personal security. Due to the massive video data produced by surveillance cameras installed in different environments like airports, trains, stadiums, schools, etc., traditional video monitoring by humans operators becomes inefficient. In this context, develop systems capable of detect automatically violent actions is a challenging task. This study describes a method to detect and localize violent acts in video surveillance using dynamic images, CNN's, and weakly supervised localization methods. Experimental results demonstrate the effectiveness of our approach when applied to three public benchmark datasets: Hockey Fight [1], Violent Flows [2], and UCFCrime2Loca1 [3]. © 2020 IEEE.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.scopus 2-s2.0-85099591859
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings - 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2020
dc.rights info:eu-repo/semantics/openAccess
dc.subject violence localization
dc.subject detection es_PE
dc.subject dynamic images es_PE
dc.subject saliency detection es_PE
dc.subject video summarization es_PE
dc.subject video surveillance es_PE
dc.title Violence Detection and Localization in Surveillance Video
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication