CCTV Video

CCTV video analysis is a rapidly evolving field focused on extracting meaningful information from surveillance footage for various applications, including traffic monitoring, forensic investigations, and public safety. Current research emphasizes the development of efficient algorithms, such as sparse sampling and deep learning models (including Vision Transformers), to improve the speed and accuracy of tasks like object detection, facial recognition, and behavior analysis. These advancements are driving improvements in real-time surveillance systems, enhancing law enforcement capabilities, and enabling automated monitoring of public spaces for safety and security purposes. The accuracy and efficiency of these systems are continuously being improved through techniques like embedding aggregation and optimized camera alignment.