Measuring visual abilities and visual knowledge of aviation security screeners
| Autor: | Franziska Hofer, Diana Hardmeier, Adrian Schwaninger |
|---|---|
| Přispěvatelé: | University of Zurich, Sanson, L D, Schwaninger, Adrian |
| Rok vydání: | 2004 |
| Předmět: |
Visual search
Object-oriented programming Computer science business.industry 10093 Institute of Psychology Feature extraction Cognitive neuroscience of visual object recognition Object detection Visual processing Visual memory 2200 General Engineering Computer vision Artificial intelligence business 150 Psychology Coding (social sciences) |
| Zdroj: | 38th Annual 2004 International Carnahan Conference on Security Technology Scopus-Elsevier |
| Popis: | A central aspect of airport security is reliable detection of forbidden objects in passenger bags using X-ray screening equipment. Human recognition involves visual processing of the X-ray image and matching items with object representations stored in visual memory. Thus, without knowing which objects are forbidden and what they look like, prohibited items are difficult to recognize (aspect of visual knowledge). In order to measure whether a screener has acquired the necessary visual knowledge, we have applied the prohibited items test (PIT). This test contains different forbidden items according to international prohibited items lists. The items are placed in X-ray images of passenger bags so that the object shapes can be seen relatively well. Since all images can be inspected for 10 seconds, failing to recognize a threat item can be mainly attributed to a lack of visual knowledge. The object recognition test (ORT) is more related to visual processing and encoding. Three image-based factors can be distinguished that challenge different visual processing abilities. First, depending on the rotation within a bag, an object can be more or less difficult to recognize (effect of viewpoint). Second, prohibited items can be more or less superimposed by other objects, which can impair detection performance (effect of superposition). Third, the number and type of other objects in a bag can challenge visual search and processing capacity (effect of bag complexity). The ORT has been developed to measure how well screeners can cope with these image-based factors. This test contains only guns and knives, placed into bags in different views with different superposition and complexity levels. Detection performance is determined by the ability of a screener to detect threat items despite rotation, superposition and bag complexity. Since the shapes of guns and knives are usually known well even by novices, the aspect of visual threat object knowledge is of minor importance in this test. |
| Databáze: | OpenAIRE |
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