TY - CONF T1 - Human action recognition in realistic scenes based on Action Bank T2 - International Work-conference on Bioinformatics and Biomedical Engineering Y1 - 2016 A1 - Carlos Martínez A1 - Marcos Baptista A1 - Cristina Losada-Gutiérrez A1 - Marta Marron A1 - Valeria Boggian KW - Action Bank KW - activity recognition KW - monoc- ular RGB image processing KW - video-surveillance AB - During the last decades topics such as video analysis and image understanding have acquired a big importance due to its inclusion in applications such as security, intelligent spaces, assistive living and focused marketing. In order to validate all related works different datasets have been distributed within the research community: CAVIAR, KTH, Weizmann, INRIA or MuHAVI are some of the most well-known ex- amples, but in most cases these datasets have not been created for the surveillance application in realistic scenes of interest. Within this context, here we present a work that implements a solution for multiple persons' action recognition in monocular video sequences, focused on surveillance applications. Besides, it is also presented a newly created dataset with realistic scenes specifically designed for commercial applications. Development and results of the proposed algorithm and its validation, both within well-known datasets as CAVIAR and KTH and within the one ad-hoc generated for the applications of interest, are discussed in the paper. JF - International Work-conference on Bioinformatics and Biomedical Engineering CY - Granada SN - 978-84-16478-75-0 ER -