1 research outputs found
Automatic Handgun Detection in X-ray Images using Bag of Words Model with Selective Search
Baggage inspection systems using X-ray screening are crucial for security.
Only 90% of threat objects are recognized from the X-ray system based in human
inspection. Manual detection requires high concentration due to the images
complexity and the challenges objects points of view. An algorithm based on Bag
of Visual Word (BoVW) with Selective Search is proposed in this paper for
handguns detection in single energy X-ray images from the public GDXray
database. This approach is an adaptation of BoVW for X-ray baggage images
context. In order to evaluate the proposed method the algorithm effectiveness
recognition was tested on all bounding boxes returned by selective search
algorithm in 200 images. The most relevant result is the precision and true
positive rate (PPV = 80%, TPR= 92%). This approach achieves good performance
for handgun recognition. In addition, it is the first time the Selective Search
localization algorithm was tested in baggage X-ray images and showed
possibilities with Bag of Visual Words.Comment: in Spanis