A video image detection approach based on cooperative positioning. (23rd November 2020)

• Record Type: Journal Article
• Authors: Cai, Aiping; Wang, Taotao
• Is Part Of: International journal of high performance systems architecture. Volume 9:Number 2/3(2020)
• Page Start: 70
• Page End: 76
• Publication Date: 2020-11-23
• Subjects: image classification -- co-localisation -- video detection -- mutex constrained -- machine vision -- collaborative localisation algorithm -- edge detection; Computer architecture -- Periodicals; Computer systems -- Periodicals; High performance computing -- Periodicals; 004.205
• Languages: English
• ISSNs: 1751-6528

Abstract

Target detection tasks usually need to be performed with the help of cooperative positioning in machine vision positioning systems with multiple viewing angles and cameras. Models built by classifier algorithms in most cases are complicated, compromising algorithms' efficiency while ensuring the accuracy of the models. A detection approach based on cooperative positioning of locations and mutex constraints is proposed in this paper, and with this approach, the efficiency of classification can be improved. First, a target function model is built by performing 'exclusive or' operation on mutex and original matrix. Then a mutex matrix based on overlapping degree and aspect ratio is used to constrain candidate objects overlapped and greatly different in appearance from being selected from single images. According to the test results, better detection effects can be generated since the location and scale of one object in one video clip will not undergo any sudden and drastic change.