Research Article
Quality Optimization of Live Surveillance Video With Crime and Anomaly Identification
@INPROCEEDINGS{10.4108/eai.5-1-2024.2341878, author={Deepika Ajalkar and Masira Kulkarni and Akshay Popale and Abhishek Mahindrakar and Ashish Meshram and Prabal Khillarkar}, title={Quality Optimization of Live Surveillance Video With Crime and Anomaly Identification}, proceedings={Proceedings of the EAI 3rd International Conference on Intelligent Systems and Machine Learning, ICISML 2024, January 5-6, 2024, Pune, India}, publisher={EAI}, proceedings_a={ICISML}, year={2024}, month={8}, keywords={video quality enhancement surveillance video real-time crime detection anomaly detection video analytics computer vision machine learning object detection image enhancement video processing security surveillance crime preventionvideo quality assessment deep learning image denoising real-time processing surveillance datasets security applications video compression privacy in surveillance}, doi={10.4108/eai.5-1-2024.2341878} }- Deepika Ajalkar
Masira Kulkarni
Akshay Popale
Abhishek Mahindrakar
Ashish Meshram
Prabal Khillarkar
Year: 2024
Quality Optimization of Live Surveillance Video With Crime and Anomaly Identification
ICISML
EAI
DOI: 10.4108/eai.5-1-2024.2341878
Abstract
Generative adversarial networks (GANs) and Super-Resolution Convolutional Neural Networks (SRCNNs) are AI models enhancing real-time CCTV footage. Extensive experiments on real-world datasets confirm their superiority over tra- ditional upscaling methods. This tech not only improves visual clarity but aids in identifying suspects, license plates, and evidence. Generative AI also excels in crime scene identification by automatically spotting objects, vehi- cles, and individuals. This boosts law enforcement efficiency. However, ethical concerns, like privacy and biases, demand careful consideration when imple- menting AI surveillance. In summary, generative AI enhances CCTV footage, aiding crime investigation, but ethical issues must be addressed for responsi- ble deployment. Index Terms—CCTV footage upscaling, deep learning, real-time processing, crime scene identification, object detection, convolutional neural network, surveillance systems.
