We propose an effective structured learning based approach to the problem of person re-
identification which outperforms the current state-of-the-art on most benchmark data sets …

In this paper, we present a machine learning classifier which is used for pedestrian detection
based on XGBoost. Our approach, the Genetic Algorithm is introduced to optimize the …

Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …

We propose a simple yet effective approach to the problem of pedestrian detection which
outperforms the current state-of-the-art. Our new features are built on the basis of low-level …

Many typical applications of object detection operate within a prescribed false-positive
range. In this situation the performance of a detector should be assessed on the basis of the …

In this paper we propose a novel method for human action recognition based on boosted
key-frame selection and correlated pyramidal motion feature representations. Instead of …

The attention paid to matrix manifolds has grown considerably in the computer vision
community in recent years. There are a wide range of important applications including face …

The appearance-based approach to face detection has seen great advances in the last
several years. In this approach, we learn the image statistics describing the texture pattern …

The recently proposed covariance region descriptor has been proven robust and versatile
for a modest computational cost. The covariance matrix enables efficient fusion of different …

摘(要: 目的(局部图像描述符广泛应用于许多图像理解和计算机视觉应用领域, 如图像分类,
目标识别, 图像检索, 机器人导航, 纹理分类等. VI7! 算法的提出标志着现代局部图像描述符研究 …