光学精密工程2018，Vol.26Issue(12)：3067-3078,12.DOI:10.3788/OPE.20182612.3067
采用PSR和客观相似性的高置信度跟踪
High-confidence correlation tracking algorithm based on PSR and objective similarity
摘要
Abstract
To prevent over-deformation and to solve occlusion problems that are difficult to solve for correlated filtering tracking algorithms in the tracking field, an improved multiscale target tracking algorithm based on PSR and objective similarity was proposed in this paper.The proposed method combined a traditional correlation operation, peak side lobe ratio, with a perceptual hashing algorithm to tackle problems such as target occlusion, over deformation, and other complex scene judgments.Experimental results using the OTB-2015 demonstrate proposed algorithm's reliability and integrity of the target trajectory.The accuracy and robustness of our algorithm is better than that of Kernelized Correlation Filter (KCF) tracking algorithms.This paper presents a novel idea for occlusion detection in the target tracking field.关键词
计算机视觉/目标跟踪/准确度判别/抗遮挡Key words
computer vision/target tracking algorithm/accuracy judgment/anti occlusion分类
信息技术与安全科学引用本文复制引用
宋华军,于玮,王芮..采用PSR和客观相似性的高置信度跟踪[J].光学精密工程,2018,26(12):3067-3078,12.基金项目
国家自然科学基金资助项目(No.61602517) （No.61602517）
中央高校基本科研业务费专项资金资助项目(No.18CX02109A) （No.18CX02109A）
