Motion Descriptor for Human Gesture Recognition in Low Resolution Images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Ferreira, A (Autor) Outra; Silva, G (Autor) Outra; Dias, A (Autor) Outra; Martins, A (Autor) Outra; Aurélio Campilho (Autor) FEUP

Ata de Conferência Internacional

Título: ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1

Páginas: 297-308

2nd Iberian Robotics Conference (ROBOT)

Lisbon, PORTUGAL, NOV 19-21, 2015

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00K-2EW

DOI: 10.1007/978-3-319-27146-0_23

Abstract (EN): A great variety of human gesture recognition methods exist in the literature, yet there is still a lack of solutions to encompass some of the challenges imposed by real life scenarios. In this document, a gesture recognition for robotic search and rescue missions in the high seas is presented. Themethod aims to identify shipwrecked people by recognizing the hand waving gesture sign. We introduce a novelmotion descriptor, through which high recognition accuracy can be achieved even for low resolution images. The method can be simultaneously applied to rigid object characterization, hence object and gesture recognition can be performed simultaneously. The descriptor has a simple implementation and is invariant to scale and gesture speed. Tests, preformed on a maritime dataset of thermal images, proved the descriptor ability to reach a meaningful representation for very low resolution objects. Recognition rates with 96.3% of accuracy were achieved.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12