Title: A video image detection approach based on cooperative positioning

Authors: Aiping Cai; Taotao Wang

Addresses: Jiangxi University of Technology, No. 115, Zi Yang Street, Nanchang City, Jiangxi Province, China ' Jiangxi University of Technology, No. 115, Zi Yang Street, Nanchang City, Jiangxi Province, China

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.

Keywords: image classification; co-localisation; video detection; mutex constrained; machine vision; collaborative localisation algorithm; edge detection.

DOI: 10.1504/IJHPSA.2020.111555

International Journal of High Performance Systems Architecture, 2020 Vol.9 No.2/3, pp.70 - 76

Received: 02 Oct 2019
Accepted: 13 Dec 2019
Published online: 01 Dec 2020 *

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