公开(公告)号：US20110038535A1

公开(公告)日：2011-02-17

申请号：US12651376

申请日：2009-12-31

申请人： Wen-Hao Wang ,  Tai-Hui Huang

发明人： Wen-Hao Wang ,  Tai-Hui Huang

IPC分类号： G06K9/34 ,  H04N9/74

CPC分类号： H04N9/735 ,  G06T7/194 ,  G06T7/215

摘要： A foreground image separation method is disclosed to separate dynamic foreground and static background in a sequence of input images which have been processed either with automatic white balance or brightness control by the camera. First, an input image is received from the camera, and then a white balance or brightness compensation is performed to the input image according to a reference image to generate a compensated image with background color and background brightness which are approximately similar to that of the reference image. Finally, a background subtraction algorithm is performed to the compensated image to generate a background separation result. The background subtraction algorithm could be a Gaussian Mixture Model based algorithm. The method could process successive images received from the camera to continuously generate background separation results and update the reference image accordingly, such that video surveillance system could adapt to the change of illumination.

摘要翻译： 公开了一种前景图像分离方法，用于在经过相机的自动白平衡或亮度控制处理的输入图像序列中分离动态前景和静态背景。 首先，从相机接收输入图像，然后根据参考图像对输入图像执行白平衡或亮度补偿，以产生具有与参考图像大致相似的背景颜色和背景亮度的补偿图像 图片。 最后，对补偿图像执行背景减法算法以产生背景分离结果。 背景减法算法可以是基于高斯混合模型的算法。 该方法可以处理从相机接收的连续图像，以连续生成背景分离结果，并相应地更新参考图像，使得视频监控系统能够适应照明的变化。

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。

公开(公告)号：US08472717B2

公开(公告)日：2013-06-25

申请号：US12651376

申请日：2009-12-31

申请人： Wen-Hao Wang ,  Tai-Hui Huang

发明人： Wen-Hao Wang ,  Tai-Hui Huang

IPC分类号： G06K9/34

CPC分类号： H04N9/735 ,  G06T7/194 ,  G06T7/215

摘要： A foreground image separation method is disclosed to separate dynamic foreground and static background in a sequence of input images which have been processed either with automatic white balance or brightness control by the camera. First, an input image is received from the camera, and then a white balance or brightness compensation is performed to the input image according to a reference image to generate a compensated image with background color and background brightness which are approximately similar to that of the reference image. Finally, a background subtraction algorithm is performed to the compensated image to generate a background separation result. The background subtraction algorithm could be a Gaussian Mixture Model based algorithm. The method could process successive images received from the camera to continuously generate background separation results and update the reference image accordingly, such that video surveillance system could adapt to the change of illumination.

摘要翻译： 公开了一种前景图像分离方法，用于在经过相机的自动白平衡或亮度控制处理的输入图像序列中分离动态前景和静态背景。 首先，从相机接收输入图像，然后根据参考图像对输入图像执行白平衡或亮度补偿，以产生具有与参考图像大致相似的背景颜色和背景亮度的补偿图像 图片。 最后，对补偿图像执行背景减法算法以产生背景分离结果。 背景减法算法可以是基于高斯混合模型的算法。 该方法可以处理从相机接收的连续图像，以连续生成背景分离结果，并相应地更新参考图像，使得视频监控系统能够适应照明的变化。

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。