State-of-the-Art Techniques in Visual Analysis for Image Processing and Pattern Recognition: A Systematic Review
Santoshachandra Rao Karanam, Naresh Tangudu, Kalangi Praveen Kumar, T.N. S. Padma, Illa Mahesh Kumar Swamy, P. Nagamani · BENTHAM SCIENCE PUBLISHERS eBooks · 2025
Visual analysis of human motion has emerged as a frontier vicinity in computer vision in up-to-date years. In visual sequences, it can identify, track, and recognize individuals. It can also comprehend and characterize their movements. With the quick growth and widespread use of information technology, the application of computer vision technology to the study of image processing, pattern recognition, and the efficient extraction and identification of human motion elements from video images has gained significant attention. In order to enhance the capacity to evaluate the attributes of moving human bodies, this work introduces the extraction function method, examines the properties of the extraction function, and proposes a technique for doing so based on picture recognition. The periodic motion in each motion is segmented using the hierarchical clustering approach to obtain precise segmentation. The tests employed self-built data and several benchmark datasets. Tests demonstrate that the method can extract less feature data and retain low computational complexity while producing high classification and recognition results. Additionally, it is capable of naturally integrating both the static and dynamic aspects of human gait.