Artículo
Handgun detection using combined human pose and weapon appearance
Autor/es | Ruiz Santaquiteria Alegre, Jesús
Velasco Mata, Alberto Vallez Enano, Noelia Bueno, Gloria Álvarez García, Juan Antonio Deniz, Óscar |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistema Informáticos |
Fecha de publicación | 2021 |
Fecha de depósito | 2021-09-21 |
Publicado en |
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Resumen | Closed-circuit television (CCTV) systems are essential nowadays to prevent security threats or dangerous
situations, in which early detection is crucial. Novel deep learning-based methods have allowed to develop
automatic ... Closed-circuit television (CCTV) systems are essential nowadays to prevent security threats or dangerous situations, in which early detection is crucial. Novel deep learning-based methods have allowed to develop automatic weapon detectors with promising results. However, these approaches are mainly based on visual weapon appearance only. For handguns, body pose may be a useful cue, especially in cases where the gun is barely visible. In this work, a novel method is proposed to combine, in a single architecture, both weapon appearance and human pose information. First, pose keypoints are estimated to extract hand regions and generate binary pose images, which are the model inputs. Then, each input is processed in di erent subnetworks and combined to produce the handgun bounding box. Results obtained show that the combined model improves the handgun detection state of the art, achieving from 4.23 to 18.9 AP points more than the best previous approach. |
Agencias financiadoras | Ministerio de Economía y Empresa (MINECO). España Junta de Castilla-La Mancha |
Identificador del proyecto | TIN2017-82113-C2-2-R
SB-PLY/17/180501/000543 |
Cita | Ruiz Santaquiteria Alegre, J., Velasco Mata, A., Vallez Enano, N., Bueno, G., Álvarez García, J.A. y Deniz, Ó. (2021). Handgun detection using combined human pose and weapon appearance. IEEE Access, 9 (Jul 2021), 123815-123826. |
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