Research Article
Moving Target Location Method of Video Image Based on Computer Vision
@INPROCEEDINGS{10.1007/978-3-030-51100-5_16, author={Xiao-xia Li and Hai-yan Zhang}, title={Moving Target Location Method of Video Image Based on Computer Vision}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2020}, month={7}, keywords={Computer vision Video image Moving target Location}, doi={10.1007/978-3-030-51100-5_16} }- Xiao-xia Li
Hai-yan Zhang
Year: 2020
Moving Target Location Method of Video Image Based on Computer Vision
ICMTEL
Springer
DOI: 10.1007/978-3-030-51100-5_16
Abstract
By the localization and recognition of human moving target in video image, combined with the information of human motion feature in video image, the moving target localization and visual reconstruction is realized, this paper analyzes the feature quantity of moving objects in video image, improves the training level, and proposes a moving objects positioning technology of video image based on computer vision and 3D feature point reconstruction. According to the moving feature position of human body, the 3D information modeling and image acquisition of moving target is carried out by using video information acquisition and spatial feature scanning methods. The moving feature points of the collected moving target video image are calibrated and arranged, and the 3D edge outlines feature point set of human skeleton is extracted and represented as a high dimensional vector to form the regular feature database of moving target video image. The moving points in the regular feature database of moving target video image are fusion to realize the reconstruction of moving target video image and the location of moving target. The simulation results show that the method has good real-time and accuracy in moving target location of video image, has strong ability of 3D marking of human moving points, and has high accuracy of extracting moving motion features.
