video surveillance systems

IMPROVEMENT OF THE POSITIONING SYSTEM OF ROBOTIC DEVICES BASED ON THE COLOR BEACON ALGORITHM

Today, the development of indoor positioning systems is a promising and relevant, but difficult task. This requires the creation of maps based on floor plans, the selection of effective location algorithms, and the creation of an appropriate building infrastructure for reliable location determination. Existing positioning systems that use radio channels for indoor navigation, infrared and ultrasonic tagging are considered.

Evaluation of Deep Learning-based Super-resolution Methods for Enhanced Facial Identification Accuracy

This paper presents a comparative analysis of modern super-resolution (SR) methods for improving the accuracy of face recognition in video surveillance systems. The low quality of images obtained from surveillance cameras is a significant obstacle to effective person identification, making the use of SR methods particularly relevant.