Deep object tracking with multi-modal data | |
Zhang, Xuezhi1,2; Yuan, Yuan1; Lu, Xiaoqiang1 | |
2016-08-16 | |
会议名称 | 2016 international conference on computer, information and telecommunication systems, cits 2016 |
会议日期 | 2016-07-06 |
会议地点 | kunming, china |
关键词 | Computer vision Convolution Image processing Infrared imaging Modal analysis |
通讯作者 | zhang, xuezhi |
英文摘要 | object tracking is a challenging topic in the field of computer vision since its performance is easily disturbed by occlusion, illumination change, background clutter, scale variation, etc. in this paper, we introduce a robust tracking algorithm that fuses information from both visible images and infrared (ir) images. the proposed tracking algorithm not only incorporates convolutional feature maps from the visible channel, but also employs a scale pyramid representation from ir channel. we estimate the target location by fusing multilayer convolutional feature maps, and predict the target scale from a scale pyramid. the pipeline of the proposed method is as follows. first, the hierarchical convolutional feature maps are obtained from visible images using vgg;nets. then, the accurate target location is predicted by the maximum response of correlation filters with the visible image feature maps. finally, we obtain the precise object scale with a scale pyramid from infrared images where the difference between the target and the background is clear. in order to verify the performance of the proposed method, we capture six video sequences under different conditions. these sequences contain both visible channel and ir channel. ten state;of;the;art tracking algorithms are compared with our method, and the experimental results show the effectiveness of the proposed tracker. © 2016 ieee. |
收录类别 | EI ; ISTP |
产权排序 | 1 |
会议录 | ieee cits 2016 ; 2016 international conference on computer, information and telecommunication systems |
会议录出版者 | institute of electrical and electronics engineers inc. |
语种 | 英语 |
ISBN号 | 9781509034406 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28205] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi; 710119, China 2.University of the Chinese Academy of Sciences, 19A Yuquanlu, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Zhang, Xuezhi,Yuan, Yuan,Lu, Xiaoqiang. Deep object tracking with multi-modal data[C]. 见:2016 international conference on computer, information and telecommunication systems, cits 2016. kunming, china. 2016-07-06. |
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