中文摘要：

在这份报纸，我们集中于低分辨率的人的察觉并且为室外的录像监视建议部分最不平方正规的关联分析(PLS-CCA ) 。分析依靠异构的特征基于熔化的人的察觉方法。建议方法不能仅仅探索在二个单个异构的特征之间的关系像一样可能，而且能要用体力地与互补信息描述人的视觉外观。与一些另外的方法相比，试验性的结果证明建议方法是有效的并且在曲线(AUC ) 下面让高精确性，精确，召回率和区域同时珍视，并且提供歧视、稳定的识别表演。

英文摘要：

In this paper, we focus on low-resolution human detection and propose a partial least squares-canonical correlation analysis （PLS-CCA） for outdoor video surveillance. The analysis relies on heterogeneous features fusion-based human detection method. The proposed method can not only explore the relation between two individual heterogeneous features as much as possible, but also can robustly describe the visual appearance of humans with complementary information. Compared with some other methods, the experimental results show that the proposed method is effective and has a high accuracy, precision, recall rate and area under curve （AUC） value at the same time, and offers a discriminative and stable recognition performance.