高技术通讯2018，Vol.28Issue(3)：219-226,8.DOI:10.3772/j.issn.1002-0470.2018.03.005
基于多尺度感知哈希特征的目标跟踪算法研究
The research of a target tracking algorithm based on multi-scale hash feature
摘要
Abstract
Target tracking and detection are studied .Considering that the complex application environments bring the problems of low robustness to illumination variation , data loss due to the change of target scale , and low detecting speed during real-time tracking , a new object tracking algorithm using multi-scale perceptual Hash feature , called the MHash algorithm for short , is proposed based on the characteristic that Hash fingerprint features are robust to il-lumination changes .The algorithm uses multi-scale scanning windows to detect objects and reduces the dimension of scanning window to access perceptual Hash fingerprint characteristics with the bilinear interpolation method .And it combines the Hamming distance with the Gaussian distribution method to evaluate scanning windows .The window of the highest score is as the target window .The method is applied to tracking and detection of face , sports cars and fast and slow moving objects , and the experiments are analysed .The experiments show that this algorithm is robust against illumination changes and target scale change .It can be effectively used for long-term target tracking .关键词
目标跟踪/多尺度/感知哈希/汉明距离/特征提取Key words
object tracking/multi-scale/perceptual hash/Hamming distance/feature extraction引用本文复制引用
张立国,王松,金梅,崔利洋..基于多尺度感知哈希特征的目标跟踪算法研究[J].高技术通讯,2018,28(3):219-226,8.基金项目
燕山大学基础研究(专项课题(16LGA007)资助项目. （专项课题(16LGA007）
