Abstract
Data classification in presence of noise can lead to much worse results than expected for pure patterns. In paper was investigated problem of the research is the process of user recognition and identification in the video sequence. The main contributions presented in this paper are experimental examination of influence of different types of noise and to the increase the security of an IT company by developing a computer system for recognizing and identifying users in the video sequence. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. However, the training of classifiers is very slow, but the face search results are very fast.
Highlights
Modern methods of recognizing objects in video or images have a wide range of uses ranging from the protection of private areas to the creation of special effectsSCIENTIFIC COLLECTION «INTERCONF» | No 90 in films
The results demonstrate that face recognition using convolutional neural network (CNN) with transmission learning gives better classification rigor if compare to the PCA method
The face was not covered by other objects in the frame, either partially or completely
Summary
Modern methods of recognizing objects in video or images have a wide range of uses ranging from the protection of private areas to the creation of special effects. SCIENTIFIC COLLECTION «INTERCONF» | No 90 in films. Large companies and small teams of enthusiasts create new approaches and algorithms for human resources processing to develop computer vision technologies. As a direction, is just beginning its development. Prospects for its development have great potential. Large private companies are already using data recognition and analysis technologies in many of their products and are successfully selling their products and technologies. The capabilities of recognition technologies have a great effect on improving and increasing the functionality of products for the end user
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