Action identification using a descriptor with autonomous fragments in a multilevel prediction scheme

Autor(es)

de Alcantara, Marlon Fernandes ; Moreira, Thierry Pinheiro ; Pedrini, Helio ; Florez-Revuelta, Francisco

• Tipo de documento: Artigo Científico
• Fonte: SIGNAL IMAGE AND VIDEO PROCESSING; v. 11, n. 2, p. 325-332, FEB 2017.
• Citações Web of Science: 4

Resumo

Recent technological advances have provided powerful devices with high processing and storage capabilities. Video cameras can be found in several different areas, such as banks, schools, stores, public streets and industry for a variety of tasks. Camera technology has increasingly improved, achieving higher resolution and acquisition frame rates. Nevertheless, most video analysis tasks are performed by human operators, whose performance may be affected by fatigue and stress. To address this problem, this work proposes and evaluates a method for action identification in videos through a new descriptor composed of autonomous fragments applied to a multilevel prediction scheme. The method is very fast and achieves over 90 % of accuracy in known public data sets. The developed system allows for the current video cameras the possibility of real-time action analysis, demonstrating to be a useful and powerful tool for surveillance purpose. (AU)

• Processo FAPESP: 11/22749-8 - Desafios em visualização exploratória de dados multidimensionais: novos paradigmas, escalabilidade e aplicações
• Beneficiário: Luis Gustavo Nonato
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 12/20738-1 - Identificação de Atividades em Câmeras de Vigilância Flexível ao Contexto
• Beneficiário: Marlon Fernandes de Alcantara
• Modalidade de apoio: Bolsas no Brasil - Doutorado