中圖分類號： TP391.41
文獻(xiàn)標(biāo)識碼： A
DOI： 10.19358/j.issn.2096-5133.2022.05.007
引用格式： 鄔春學(xué)，賀欣欣. 基于改進(jìn)匈牙利算法對多人人體關(guān)鍵點匹配的研究[J].信息技術(shù)與網(wǎng)絡(luò)安全，2022，41(5)：45-50，58.

Research of matching key points of multi-human body based on improved Hungarian algorithm

Abstract： In complex scenarios, there are optimization problems such as low accuracy and uneven resource allocation in the key point allocation algorithm in the traditional human pose estimation model. An improved Hungarian algorithm based on the OpenPose model is proposed. Based on the traditional mathematical model, the algorithm combines the affinity vector field with the adjacency matrix, and obtains the optimal matching of key points through the numerical processing in the matrix. Experimental results show that such algorithm can reduce the running time to a certain extent, while ensuring that the accuracy error rate of the operation in a matrix within 100×100 is not higher than 0.014 .In experiments using local image testing, the feasibility and performance improvement of the model are verified.

Key words : Hungarian algorithm；human pose estimation；key point matching；earthquake rescue；optimization model