Mery, D.D.MeryMondragon, G.G.MondragonRiffo, V.V.RiffoZuccar, I.I.Zuccar2025-12-302025-12-3020131754-4904https://hdl.handle.net/20.500.12740/23655In order to reduce the security risk of a commercial aircraft, passengers are not allowed to take certain items in 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 a method based on multiple X-ray views to detect some regular prohibited items with very defined shapes and sizes. The method consists of two steps: 'structure estimation', to obtain a geometric model of the multiple views from the object to be inspected (baggage); and 'parts detection', to detect the parts of interest (prohibited items). The geometric model is estimated using a structure from a motion algorithm. The detection of the parts of interest is performed by an ad-hoc segmentation algorithm (object dependent) followed by a general tracking algorithm based on geometric and appearance constraints. In order to illustrate the effectiveness of the proposed method, experimental results on detecting regular objects - razor blades and guns - are shown yielding promising results.Acceso AbiertoX-ray testingbaggage screeningluggage scanmultiple view imagingcomputer visionhttp://dx.doi.org/10.1784/insi.2012.55.1.16