LIU L L, SIMA H F.Study on target tracking technology based on Mid-high level feature fusion in campus security platform[J].Journal of Henan Polytechnic University(Natural Science) ,2022,41(6):163-168.

doi:10.16186/j.cnki.1673-9787.2021030036

Received:2021/03/09

Revised:2021/07/19

Published:2022/11/25

Study on target tracking technology based on Mid-high level feature fusion in

 campus security platform

LIU Lanlan1,2, SIMA Haifeng1

1.School of Computer Science and Technology， Henan Polytechnic University， Jiaozuo  454000， Henan， China；2.Faculty of Arts and Law ， Henan Polytechnic University， Jiaozuo  454000， Henan， China

Abstract:Video target detection and tracking is an interdisciplinary research task，it is the important monitoring method for construction of security and smart campus.Aiming at the lack of high-level knowledge of low-level features in tracking，a tracking model was proposed by integrating superpixles constraints into SVM in this paper.Firstly，superpixels of each frame were extracted.Then the local mean feature and dense SIFT feature were computed based on superpixels constraints and dimensionality reduction.The mean feature of color space，SIFT and local rank transform features were fused to optimize the classifiers through online learning.Finally，the optimized bounding boxes of tracking target were obtained.Experiments conducted on OTB2013 database demonstrated the effectiveness of the proposed algorithm.

Key words:campus safe;target tracking;superpixel constraint;dense SIFT;feature fusion;online learning

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