Abstract
Forensically trained facial reviewers are still considered as one of the most accurate approaches for person identification from video records. The human brain can utilize information, not just from a single image, but also from a sequence of images (i.e., videos), and even in the case of low-quality records or a long distance from a camera, it can accurately identify a given person. Unfortunately, in many cases, a single still image is needed. An example of such a case is a police search that is about to be announced in newspapers. This paper introduces a face database obtained from real environment counting in 17,426 sequences of images. The dataset includes persons of various races and ages and also different environments, different lighting conditions or camera device types. This paper also introduces a new multi-frame face super-resolution method and compares this method with the state-of-the-art single-frame and multi-frame super-resolution methods. We prove that the proposed method increases the quality of face images, even in cases of low-resolution low-quality input images, and provides better results than single-frame approaches that are still considered the best in this area. Quality of face images was evaluated using several objective mathematical methods, and also subjective ones, by several volunteers. The source code and the dataset were released and the experiment is fully reproducible.
Highlights
Closed-circuit television (CCTV) is a widely used technology for monitoring public and private places, which helps to increase overall safety, prevent frauds, shoplifting, thefts, burglaries, vandalism, terrorism and others
The most successful approaches of recent years were based mostly on approaches based on neural networks, and this paper primarily builds upon those methods too
It should be noted that the results described above only presents the performance of methods according to the number of the best objective measures and it does not take into account their significance (i.e., Structural similarity (SSIM) and FR failed are probably more valuable than Mean Square Error (MSE))
Summary
Closed-circuit television (CCTV) is a widely used technology for monitoring public and private places, which helps to increase overall safety, prevent frauds, shoplifting, thefts, burglaries, vandalism, terrorism and others. It is often installed in public areas and businesses throughout the world to prevent the abovementioned crimes and to increase overall public safety. It often happens that even though the crime is recorded using CCTV, the recording cannot be used for police investigation or a police search and cannot be used as evidence The cause of this is often the poor quality of the recording, the distance of the camera from the crime place, bad lighting, bad weather conditions, or others factors which cause the person on the recording to be
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