Paper
2 October 2008 A new method for observer-based evaluation of object detectability using image sequences taken by approaching sensors
E. Mauer, P. Koffler
Author Affiliations +
Proceedings Volume 7113, Electro-Optical and Infrared Systems: Technology and Applications V; 711317 (2008) https://doi.org/10.1117/12.799836
Event: SPIE Security + Defence, 2008, Cardiff, Wales, United Kingdom
Abstract
Detectability evaluation of objects is required for sensor range performance determination or for the assessment of camouflage effectiveness. In order to obtain a statistically sound statement the evaluation is performed in a sequential or parallel manner by different human observers analysing stored image sequences, so called "video simulation trials". These sequences are captured by high quality sensors approaching the objects of interest. The proposed method is based on the visualization in real-time of different kinds of a priori knowledge related to the object location in every image of the image sequence in order to reduce the searching process of the human observer depending on recognition task. Hence the geometric transformation of geometric information through every image of the sequence is performed by applying an automatic image registration method, planar homography. Additionally, knowledge of these geometric transformations allows new trial options and trial automation so that further experiments for the proposal of a new evaluation standard for video simulation can be performed with a statistically significant number of observers.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Mauer and P. Koffler "A new method for observer-based evaluation of object detectability using image sequences taken by approaching sensors", Proc. SPIE 7113, Electro-Optical and Infrared Systems: Technology and Applications V, 711317 (2 October 2008); https://doi.org/10.1117/12.799836
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KEYWORDS
Video

Visualization

Sensors

Image processing

Image sensors

Image registration

Matrices

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