Automated x-ray object recognition using an efficient search algorithm in multiple views

Domingo Mery, Vladimir Riffo, Irene Zuccar, Christian Pieringer

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

36 Citas (Scopus)

Resumen

In order to reduce the security risk of a commercial aircraft, passengers are not allowed to take certain items in their carry-on baggage. For this reason, human operators are trained to detect prohibited items using a manually controlled baggage screening process. In this paper, we propose the use of an automated method based on multiple X-ray views to recognize certain regular objects with highly defined shapes and sizes. The method consists of two steps: 'monocular analysis', to obtain possible detections in each view of a sequence, and 'multiple view analysis', to recognize the objects of interest using matchings in all views. The search for matching candidates is efficiently performed using a lookup table that is computed off-line. In order to illustrate the effectiveness of the proposed method, experimental results on recognizing regular objects-clips, springs and razor blades-in pen cases are shown achieving around 93% accuracy for 120 objects. We believe that it would be possible to design an automated aid in a target detection task using the proposed algorithm.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
Páginas368-374
Número de páginas7
DOI
EstadoPublicada - 2013
Publicado de forma externa
Evento2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 - Portland, OR, Estados Unidos
Duración: 23 jun 201328 jun 2013

Serie de la publicación

NombreIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (versión impresa)2160-7508
ISSN (versión digital)2160-7516

Conferencia

Conferencia2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013
País/TerritorioEstados Unidos
CiudadPortland, OR
Período23/06/1328/06/13

Áreas temáticas de ASJC Scopus

  • Visión artificial y reconocimiento de patrones
  • Ingeniería eléctrica y electrónica

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