Study on the Multi-objective Extraction Method of Images of Difficult Martial Arts Moves

Jiqiang Wang

Sports University, Pingdingshan Univerisity, Pingdingshan, 467000, China

Abstract: The multi-objective extraction of images of difficult martial arts moves is an important way to de-termine the standard of a player’s difficult martial arts moves. However, most multi-objective extractions of martial arts moves are conducted by extracting the images of martial arts moves through their geometric fea-ture parameters, but the method is difficult to extract and inconvenient to conduct. Therefore, a multi-objective extraction method of difficult martial arts moves based on Weber Local Descriptor (WLD) is pro-posed, the segmentation of images and multi-objective extraction. Experiments show that with the method proposed in the paper, the multi-objective extraction and identification of images of difficult martial arts moves can be conducted well.

Keywords: Difficult moves of martial arts; Multi-objective; Extraction of images