红外技术2017，Vol.39Issue(8)：740-745,6.
卷积神经网络与时空上下文结合的目标跟踪算法
A Target Tracking Algorithm Combining Convolution Neural Network
with Spatio Temporal Context
闵召阳 1赵文杰1
作者信息
- 1. 空军航空大学航空航天情报系,吉林长春 130022
- 折叠
摘要
Abstract
In this paper, an algorithm of the target tracking combining convolution neural network with the temporal and spatial context is proposed. In the framework of the context-based algorithm, the convolutional neural network algorithm is integrated to improve the stability and robustness of the tracking system. The Kalman filter is introduced to deal with the problem that the target is obscured. In addition, the whole tracking system adopts a coarse-to-fine target location method, and the target localization is achieved by the temporal and spatial context algorithm, and the target location is accurately located by the convolution neural network. Experimental results show that the proposed algorithm is stable and robust for real-time performance.关键词
目标跟踪/时空上下文/卷积神经网络Key words
target tracking/spatio temporal context/convolution neural network分类
信息技术与安全科学引用本文复制引用
闵召阳,赵文杰..卷积神经网络与时空上下文结合的目标跟踪算法[J].红外技术,2017,39(8):740-745,6.
