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High Dynamic Range Imaging for Physical Security

Supervisors

Suitable for

MSc in Computer Science
Computer Science, Part B
Mathematics and Computer Science, Part C
Computer Science and Philosophy, Part C
Computer Science, Part C

Abstract

High dynamic range imaging (HDRI) allows more accurate information about light to be captured, stored, processed and displayed to observers. In principle, this allows viewers to obtain more accurate representations of real-world environments. Naturally, HDRI would be of interest to security personnel who use Closed-Circuit Television (CCTVs) to identify potential threats or review security footage. Conceivably, it may be possible to identify threats or activities in shadows or overexposed areas. Another example being able to identify facial features better of someone who is wearing a hoodie. The student is encouraged to approach this challenge as they see fit, but would be expected to design, implement and assess any methods they develop. One approach might be to implement an HDR viewer, then conduct a user study and in which participants attempt to identify how well low dynamic range content viewing compares to HDR viewing set in a physical security context. Another approach might be to implement an HDR viewer that changes exposures based on where the viewer is looking. We have eyetrackers at our disposable that students would be able to use as part of their assessment. We will also be able to provide training for the student, so they are able to use the eyetracking tools themselves.

Requirements: Programming skills required