Abstract
AbstractCCTV cameras are found everywhere nowadays and are used to monitor, secure, and protect your property, or at the very least serves as intelligent CCTV footage analysis with sound source separation, object detection and super resolution. However, according to recent statistics, 80% of CCTV footage is discarded in the case of an investigation and is deemed uninformative. The reason being the grainy and low-quality video feed from CCTV cameras. Nonetheless, people thought about it and created video processing software or forensic tools that can improve the quality of the footage. Despite this, the latter are usually expensive or are only available to the authorities. Here developed is an open-source solution that is cross-platform and offers a seamless user interface for your average consumer. The application uses super-resolution to enhance image quality, object detection using YOLO v3, and sound extraction. Using actual CCTV footage as an example, the overall quality and output satisfying results for every functionality.KeywordsSuper-resolutionObject detectionSound source separationGenerative adversarial networksUNetEncoder-decoder architecture
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