基于高斯尺度空间的核相关滤波目标跟踪算法
文献类型：期刊论文
| 作者 | 谭舒昆; 刘云鹏 ; 李义翠
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| 刊名 | 计算机工程与应用
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| 出版日期 | 2017 |
| 卷号 | 53期号:1页码:29-33, 141 |
| 关键词 | 目标跟踪 核相关滤波 高斯尺度空间 双线性插值 平均绝对误差 |
| ISSN号 | 1002-8331 |
| 其他题名 | Improved kernel correlation filter tracking with Gaussian scale space |
| 产权排序 | 1 |
| 通讯作者 | 谭舒昆 |
| 中文摘要 | 核相关滤波(KCF)跟踪算法因其计算效率及速度的优势在目标跟踪领域受到了极大关注,但是该算法仍无法实现尺度自适应,针对此问题提出了一种基于高斯尺度空间的解决方法。根据KCF跟踪算法估计目标位置,将目标及其周围的区域作为搜索区域,并与高斯核卷积建立高斯尺度空间。对高斯尺度空间进行双线性插值,得到目标的多尺度估计图像。用平均绝对误差(MAD)作为匹配准则,将模板与图像匹配,从而得到目标的缩放比率。实验结果表明,与CSK算法、KCF算法等相比,所提出的基于高斯尺度空间的KCF在跟踪精确度上有了显著提升。 |
| 英文摘要 | Recently, Kernel Correlation Filter（KCF）has achieved great attention in visual tracking field, which provides excellent computation performance and high possessing speed. However, how to handle the scale variation is still an open problem. Focusing on this issue, a method based on Gaussian scale space is proposed. Firstly, this paper uses KCF to estimate the location of the target, the context region which includes the target and its surrounding background will be the image to be matched. In order to get the matching image of a Gaussian scale space, image with Gaussian kernel convolution can be got. After getting the Gaussian scale space of the image to be matched, then, according to the Gaussian scale space image, it estimates target image under different scales. It combines with the scale parameter of scale space, for each corresponding scale image performing bilinear interpolation operation to change the size to simulate target imaging at different scales. Finally, matching the template with different size of images with different scales, the paper uses Mean Absolute Difference（MAD）as the match criterion. After getting the optimal matching in the image, it ascertains the best zoom ratios, consequently estimates the target size. In the experiments, compare with CSK, KCF, the results demonstrate that the proposed method achieves high improvement in accuracy and is an efficient algorithm. |
| 收录类别 | CSCD |
| 语种 | 中文 |
| CSCD记录号 | CSCD:5920885 |
| 源URL | [http://ir.sia.cn/handle/173321/19880]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | 谭舒昆,刘云鹏,李义翠. 基于高斯尺度空间的核相关滤波目标跟踪算法[J]. 计算机工程与应用,2017,53(1):29-33, 141. |
| APA | 谭舒昆,刘云鹏,&李义翠.(2017).基于高斯尺度空间的核相关滤波目标跟踪算法.计算机工程与应用,53(1),29-33, 141. |
| MLA | 谭舒昆,et al."基于高斯尺度空间的核相关滤波目标跟踪算法".计算机工程与应用 53.1(2017):29-33, 141. |
入库方式： OAI收割
来源：沈阳自动化研究所
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