计算机工程与应用2017，Vol.53Issue(2)：214-219,6.DOI:10.3778/j.issn.1002-8331.1607-0206
基于自适应颜色特征学习的目标跟踪技术
Technology of target-tracking based on adaptive color name learning
吴晓光 1谷晓琳 1邓志鹏 1计科峰1
作者信息
- 1. 国防科学技术大学 电子科学与工程学院，长沙 410073
- 折叠
摘要
Abstract
With a brief description of target tracker based on Spatial-Temporal Context(STC)and Circulant Structure with Kernels(CSK), it mainly introduces the tracker based on Color Name(CN), and in the light of tracking drift resulting from the occlusion of targets, scale variation or illumination changes, presents an improved method based on adaptive learning rate and adaptive Gauss-kernel scale factor, aiming at improving the training model updating and marking to reduce the cumulative error of the target model and increase the accuracy of the tracking process. In the experiment, it chooses ten types of videos and uses three evaluation parameters to compare the tracking performances between initial and improved algorithms. The results show that the improved algorithm has better robustness for occlusion, illumination changes and scale variation, which is applied to the pedestrian tracking of Unmanned Aerial Vehicle(UAV), achieving good performance.关键词
自适应/学习速率/高斯核尺度因子/颜色特征(CN)跟踪器Key words
adaptive/learning-rate/Gauss-kernel scale factor/Color Name(CN)-tracker分类
信息技术与安全科学引用本文复制引用
吴晓光,谷晓琳,邓志鹏,计科峰..基于自适应颜色特征学习的目标跟踪技术[J].计算机工程与应用,2017,53(2):214-219,6.
