| 压缩感知目标跟踪 |
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| 引用本文： | 郭岩松,杨爱萍,侯正信,何宇清. 压缩感知目标跟踪[J]. 计算机工程与应用, 2011, 47(32): 4-6. DOI: 10.3778/j.issn.1002-8331.2011.32.002 |
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| 作者姓名： | 郭岩松 杨爱萍 侯正信 何宇清 |
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| 作者单位： | 天津大学 电子信息工程学院，天津 300072 |
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| 基金项目： | 国家自然科学基金No.61002027~~ |
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| 摘 要： | 视频分析通常在分类或检测等高级任务之前解码并重构视频序列。但是，有时希望只进行视频分析而不暴露敏感信息，例如人员身份。提出了一个能够跟踪目标而不需要重构视频序列的编码方案。根据压缩感知理论，用每帧的少量伪随机投影编码一个视频序列。解码器利用背景消除图像的稀疏性重构前景目标。以粒子滤波器估计的目标位置作为先验知识，可以改进前景目标位置的重构。该编码方案同时具有隐私保护和安全加密功能。
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| 关 键 词： | 压缩感知 目标跟踪 粒子滤波 重新加权l1最小化 |
| 修稿时间： | |
Object tracking using compressive sensing |
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| GUO Yansong,YANG Aiping,HOU Zhengxin,HE Yuqing. Object tracking using compressive sensing[J]. Computer Engineering and Applications, 2011, 47(32): 4-6. DOI: 10.3778/j.issn.1002-8331.2011.32.002 |
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| Authors: | GUO Yansong YANG Aiping HOU Zhengxin HE Yuqing |
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| Affiliation: | School of Electronic Information Engineering，Tianjin University，Tianjin 300072，China |
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| Abstract: | In video analysis,it usually needs to decode and reconstruct the video sequence before any higher level processing such as classification or detection.However,sometimes a video analysis needs to be proceeded without revealing sensitive information,e.g.the identity of people.This paper proposes a new encoding scheme which enables object-tracking without reconstructing the video sequence.According to compressive sensing theory,encoding a video sequence into a few pseudo-random projections of each frame is rea... |
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| Keywords: | compressive sensing object tracking particle filtering reweighted l1 minimization
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