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1. 发明申请

US20120154580A1 MOVING OBJECT DETECTION METHOD AND IMAGE PROCESSING SYSTEM FOR MOVING OBJECT DETECTION 有权
标题翻译：用于移动物体检测的移动物体检测方法和图像处理系统
公开(公告)号：US20120154580A1
公开(公告)日：2012-06-21
申请号：US13086178
申请日：2011-04-13
申请人： Tai-Hui Huang , Tsung-Chan Li , Wen-Hao Wang
发明人： Tai-Hui Huang , Tsung-Chan Li , Wen-Hao Wang
IPC分类号： G06K9/00 , H04N7/18
CPC分类号： G06T7/2006 , G06T7/136 , G06T7/194 , G06T7/215
摘要： A moving object detection method and an image processing system thereof are provided. First, a pixel-wise distance of a received image to a reference image is computed to obtain a distance map. A histogram analysis is performed on the distance map to obtain a distance distribution. An entropy value of the distance distribution is computed and a peak distance value which is with a maximum occurrence probability in the distance distribution is searched out. Then, by using a mapping rule, the entropy value and the peak distance value are transformed into a decision threshold value. The decision threshold value is applied in classifying the pixels of the distance map into a group of foreground attributes and a group of background attributes and thereby moving objects in the current image are obtained.
摘要翻译：提供了一种移动物体检测方法及其图像处理系统。首先，计算接收到的图像与参考图像的像素距离，以获得距离图。对距离图进行直方图分析以获得距离分布。计算距离分布的熵值，并搜索距离分布中具有最大出现概率的峰值距离值。然后，通过使用映射规则，将熵值和峰值距离值变换为判定阈值。应用判定阈值将距离图像的像素分类为一组前景属性和一组背景属性，从而获得当前图像中的移动物体。

2. 发明授权

US08922651B2 Moving object detection method and image processing system for moving object detection 有权
标题翻译：用于移动物体检测的移动物体检测方法和图像处理系统
公开(公告)号：US08922651B2
公开(公告)日：2014-12-30
申请号：US13086178
申请日：2011-04-13
申请人： Tai-Hui Huang , Tsung-Chan Li , Wen-Hao Wang
发明人： Tai-Hui Huang , Tsung-Chan Li , Wen-Hao Wang
IPC分类号： G06T7/20
CPC分类号： G06T7/2006 , G06T7/136 , G06T7/194 , G06T7/215
摘要： A moving object detection method and an image processing system thereof are provided. First, a pixel-wise distance of a received image to a reference image is computed to obtain a distance map. A histogram analysis is performed on the distance map to obtain a distance distribution. An entropy value of the distance distribution is computed and a peak distance value which is with a maximum occurrence probability in the distance distribution is searched out. Then, by using a mapping rule, the entropy value and the peak distance value are transformed into a decision threshold value. The decision threshold value is applied in classifying the pixels of the distance map into a group of foreground attributes and a group of background attributes and thereby moving objects in the current image are obtained.
摘要翻译：提供了一种移动物体检测方法及其图像处理系统。首先，计算接收到的图像与参考图像的像素距离，以获得距离图。对距离图进行直方图分析以获得距离分布。计算距离分布的熵值，并搜索距离分布中具有最大出现概率的峰值距离值。然后，通过使用映射规则，将熵值和峰值距离值变换为判定阈值。应用判定阈值将距离图像的像素分类为一组前景属性和一组背景属性，从而获得当前图像中的移动物体。

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