公开(公告)号：US20160035107A1

公开(公告)日：2016-02-04

申请号：US14773732

申请日：2013-04-25

Applicant: Wenming ZHENG ,  Xu HAN ,  Zongcai RUAN ,  Yankun ZHANG

Inventor： Wenming ZHENG ,  Xu HAN ,  Zongcai RUAN ,  Yankun ZHANG

IPC: G06T7/20

CPC classification number: G06T7/215 ,  G06T7/251 ,  G06T7/269 ,  G06T2207/10016 ,  G06T2207/20016 ,  G06T2207/30252 ,  G08G1/166

Abstract: A method for moving object detection is provided. The method includes: obtaining a first image captured by a monocular camera at a first time point and a second image captured by the monocular camera at a second time point (S101); calculating dense optical flows based on the first and second images (S105); and identifying a moving object based on the calculated dense optical flows (S107 and S109). Since the moving object detection method is based on dense optical flows and the monocular camera, both high detection accuracy and low cost can be achieved.

Abstract translation: 提供了一种用于移动物体检测的方法。 该方法包括：在第一时间点获得由单目相机拍摄的第一图像和在第二时间点由单目相机拍摄的第二图像（S101）; 基于第一和第二图像计算密集光流（S105）; 以及基于计算的密集光流来识别移动物体（S107和S109）。 由于移动物体检测方法是基于密集的光流和单目相机，因此可以实现高检测精度和低成本。

公开(公告)号：US20100067800A1

公开(公告)日：2010-03-18

申请号：US12212572

申请日：2008-09-17

Applicant: Zhouchen Lin ,  Wenming Zheng

Inventor： Zhouchen Lin ,  Wenming Zheng

IPC: G06K9/46

CPC classification number: G06K9/6234

Abstract: A multi-class discriminant subspace analysis technique is described that improves the discriminant power of Linear Discriminant Analysis (LDA). In one embodiment of the multi-class discriminant subspace analysis technique, multi-class feature selection occurs as follows. A data set containing multiple classes of features is input. Discriminative information for the data set is determined from the differences of class means and the differences in class scatter matrices by computing an optimal orthogonal matrix that approximately simultaneously diagonalizes autocorrelation matrices for all classes in the data set. The discriminative information is used to extract features for different classes of features from the data set.

Abstract translation: 描述了一种多级判别子空间分析技术，提高了线性判别分析（Linear Discriminant Analysis，LDA）的判别力。 在多级判别子空间分析技术的一个实施例中，多类特征选择如下进行。 输入包含多个要素类的数据集。 通过计算数据集中所有类别的自相关矩阵大致同时对角化的最佳正交矩阵，根据类别的差异和类散布矩阵的差异来确定数据集的辨别信息。 识别信息用于从数据集中提取不同类别的特征的特征。

公开(公告)号：US10936883B2

公开(公告)日：2021-03-02

申请号：US14770087

申请日：2013-03-01

Applicant: Harman International Industries, Incorporated ,  Wenming Zheng ,  Haitian Zhu ,  Zongcai Ruan ,  Yankun Zhang

Inventor： Wenming Zheng ,  Haitian Zhu ,  Zongcai Ruan ,  Yankun Zhang

IPC: G06K9/00 ,  G06T7/215 ,  G06K9/46

Abstract: A road region detection method is provided. The method includes: obtaining a first image captured by a camera at a first time point and a second image captured by the camera at a second time point (S101), converting the first and second images into a first top view and a second top view, respectively (S103), obtaining a movement vector matrix which substantially represents movement of a road region relative to the camera between the first and second time points (S105), and determining whether a candidate point belongs to the road region by determining whether a position change of the candidate point between the first and second top views conforms to the movement vector matrix. The accuracy and efficiency may be improved.

公开(公告)号：US20160004916A1

公开(公告)日：2016-01-07

申请号：US14770087

申请日：2013-03-01

Applicant: Wenming ZHENG ,  Haitian ZHU ,  Zongcai RUAN ,  Yankun ZHANG

Inventor： Wenming ZHENG ,  Haitian ZHU ,  Zongcai RUAN ,  Yankum ZHANG

IPC: G06K9/00 ,  G06K9/46 ,  G06T7/20

CPC classification number: G06K9/00798 ,  G06K9/00791 ,  G06K9/4604 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/20164 ,  G06T2207/30244 ,  G06T2207/30256

Abstract: A road region detection method is provided. The method includes: obtaining a first image captured by a camera at a first time point and a second image captured by the camera at a second time point (S101), converting the first and second images into a first top view and a second top view, respectively (S103), obtaining a movement vector matrix which substantially represents movement of a road region relative to the camera between the first and second time points (S105), and determining whether a candidate point belongs to the road region by determining whether a position change of the candidate point between the first and second top views conforms to the movement vector matrix. The accuracy and efficiency may be improved.

Abstract translation: 提供道路区域检测方法。 该方法包括：在第一时间点获取由相机拍摄的第一图像和在第二时间点由相机拍摄的第二图像（S101），将第一和第二图像转换为第一顶视图和第二顶视图 （S103），获得基本上表示在第一和第二时间点之间相对于照相机的道路区域的移动的移动向量矩阵（S105），并且通过确定候选点是否属于道路区域来确定候选点是否位于道路区域 在第一和第二顶视图之间的候选点的改变符合运动矢量矩阵。 可以提高精度和效率。