液晶与显示2018，Vol.33Issue(12)：1026-1032,7.DOI:10.3788/YJYXS20183312.1026
基于DPM和KCF的十字靶标检测与跟踪
Detection and tracking method of cross target based on DPM detector and KCF tracker
崔艺涵 1陈涛 2陈宝刚1
作者信息
- 1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033
- 2. 中国科学院大学,北京 100049
- 折叠
摘要
Abstract
An automatic detection and tracking model of cross target is established in order to realize automatic detection and tracking of cross target in this paper.There is a large amount of computation and poor real-time performance in the traditional target detection algorithm.And the target tracking requires manual calibration of the initial frame of video.To solve the problems above, a cross target detection and tracking algorithm is proposed based on Deformable Part Model (DPM) and Kernelized Correlation Filter (KCF) .First, the Histogram of Oriented Gradient (HOG) feature of cross sample set is extracted.The feature set is trained by using Latent SVM classifier, and the DPM model of target object class is generated.Then the image to be detected is traversed by sliding window search matching method.Finally, using the detected result as the starting tracking frame of the tracking algorithm, the KCF algorithm is applied to track the target quickly.When the tracking target is lost, the tracking is stopped temporarily.The positioning target is redetected with the DPM model, and then tracked with KCF algorithm.Experimental results indicate that the average frame rate detected by DPM model is 1 fps.The average frame rate of real-time detection and tracking is 40 fps combined with DPM and KCF algorithm.By using the algorithm proposed in this paper, it realizes automatic detection and real-time tracking of the target, and the detection speed is obviously higher than the traditional algorithm.After the target lost, it automatically locks and keeps on tracking, realizing the goal of long tracking of the cross target.关键词
可变形部件模型/核相关滤波器/梯度方向直方图/目标检测Key words
deformable part model/kernelized correlation filter/histogram of oriented gradient/target detection分类
信息技术与安全科学引用本文复制引用
崔艺涵,陈涛,陈宝刚..基于DPM和KCF的十字靶标检测与跟踪[J].液晶与显示,2018,33(12):1026-1032,7.
