公开(公告)号：US09225943B2

公开(公告)日：2015-12-29

申请号：US13981163

申请日：2011-08-11

申请人： Bo Li ,  Jian Yu ,  Xiao Zhang ,  Rong Dong ,  Dengbiao Jiang ,  Zhaozheng Chen ,  Qimei Chen

发明人： Bo Li ,  Jian Yu ,  Xiao Zhang ,  Rong Dong ,  Dengbiao Jiang ,  Zhaozheng Chen ,  Qimei Chen

IPC分类号： H04N7/00 ,  H04N7/18 ,  G01N21/53 ,  G06T7/00

CPC分类号： H04N7/18 ,  G01N21/538 ,  G06T7/00 ,  G06T2207/10016 ,  G06T2207/30252

摘要： Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value. The present invention can take full advantage of existing PTZ camera to video the road condition and acquire the image without the need of providing any artificial marker. Monitoring can be in real time and has a low monitoring cost, and the monitoring requirement of large area road condition can be satisfied. Monitoring is stable and can not be disturbed by environment. It is a visibility detecting method with the advantages of simpleness, easy realization, high precision and excellent use effect.

摘要翻译： 公开了一种基于亮度特性的PTZ视频可见度检测方法，其包括通过利用PTZ摄像机获取道路状况视频图像，提取路面感兴趣区域ROI以获得所选像素的高恒定性; 通过利用基于Nagao过滤的区域增长算法来获取精确的路面区域，以确保世界坐标中所选像素的照度恒定; 在路面区域中，提取反映路面的亮度变化的对比度曲线，并且搜索亮度曲线的特征点以消光系数计算图像中的人眼可辨别和最大远像素; 计算最大可见距离与相机校准相结合以确定可见度值。 本发明可以充分利用现有的PTZ摄像机对道路状况进行视频拍摄，而无需提供任何人造标记。 监控可以实时监控，监控成本低，可以满足大面积道路状况监测要求。 监测稳定，不受环境干扰。 它是一种可视化检测方法，具有简单，易于实现，精度高，使用效果好等优点。

公开(公告)号：US20130342692A1

公开(公告)日：2013-12-26

申请号：US13981163

申请日：2011-08-11

申请人： Bo Li ,  Jian Yu ,  Xiao Zhang ,  Rong Dong ,  Dengbiao Jiang ,  Zhaozheng Chen ,  Qimei Chen

发明人： Bo Li ,  Jian Yu ,  Xiao Zhang ,  Rong Dong ,  Dengbiao Jiang ,  Zhaozheng Chen ,  Qimei Chen

IPC分类号： H04N7/18

CPC分类号： H04N7/18 ,  G01N21/538 ,  G06T7/00 ,  G06T2207/10016 ,  G06T2207/30252

摘要： Disclosed is a PTZ video visibility detection method based on luminance characteristic, which includes acquiring a road condition video image by utilizing a PTZ video camera, extracting the region of interest ROI of the road surface to obtain high constancy of selected pixels; acquiring precise road surface region by utilizing region-growing algorism based on Nagao filtering to ensure the illuminance constancy of the selected pixels in world coordinates; in the road surface region, extracting the contrast curve which reflects the luminance variation of the road surface, and searching the feature points of the luminance curve to calculate the human eye distinguishable and maximum far pixels in the image with an extinction coefficient; calculating the maximum visibility distance in combination with camera calibration to determine the visibility value. The present invention can take full advantage of existing PTZ camera to video the road condition and acquire the image without the need of providing any artificial marker. Monitoring can be in real time and has a low monitoring cost, and the monitoring requirement of large area road condition can be satisfied. Monitoring is stable and can not be disturbed by environment. It is a visibility detecting method with the advantages of simpleness, easy realization, high precision and excellent use effect.

摘要翻译： 公开了一种基于亮度特性的PTZ视频可见度检测方法，其包括通过利用PTZ摄像机获取道路状况视频图像，提取路面感兴趣区域ROI以获得所选像素的高恒定性; 通过利用基于Nagao过滤的区域增长算法来获取精确的路面区域，以确保世界坐标中所选像素的照度恒定; 在路面区域中，提取反映路面的亮度变化的对比度曲线，并且搜索亮度曲线的特征点以消光系数计算图像中的人眼可辨别和最大远像素; 计算最大可见距离与相机校准相结合以确定可见度值。 本发明可以充分利用现有的PTZ摄像机对道路状况进行视频拍摄，而无需提供任何人造标记。 监控可以实时监控，监控成本低，可以满足大面积道路状况监测要求。 监测稳定，不受环境干扰。 它是一种可视化检测方法，具有简单，易于实现，精度高，使用效果好等优点。

公开(公告)号：US09361702B2

公开(公告)日：2016-06-07

申请号：US14127555

申请日：2012-06-27

申请人： Qiang Fu ,  Bo Li ,  Zhenwei Zhang ,  Qimei Chen ,  Jun He ,  Dengbiao Jiang

发明人： Qiang Fu ,  Bo Li ,  Zhenwei Zhang ,  Qimei Chen ,  Jun He ,  Dengbiao Jiang

IPC分类号： G06T7/20

CPC分类号： G06T7/20 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30232 ,  G06T2207/30241

摘要： A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.

摘要翻译： 使用用于检测图像的方法和装置来提高图像移动目标检测的检测率和准确率，使得在具有复杂的照明变化的场景中也可以准确地检测移动目标。 用于检测图像的方法包括：收集图像，通过使用预设的混合时空背景模型对图像执行移动目标检测，以及确定目标图像; 其中，通过根据图像的灰度变化趋势进行建模，预先获得混合时空背景模型。

公开(公告)号：US20140169639A1

公开(公告)日：2014-06-19

申请号：US14127555

申请日：2012-06-27

申请人： Qiang Fu ,  Bo Li ,  Zhenwei Zhang ,  Qimei Chen ,  Jun He ,  Dengbiao Jiang

发明人： Qiang Fu ,  Bo Li ,  Zhenwei Zhang ,  Qimei Chen ,  Jun He ,  Dengbiao Jiang

IPC分类号： G06T7/20

CPC分类号： G06T7/20 ,  G06T7/215 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30232 ,  G06T2207/30241

摘要： A method and device for detecting images are used to improve a detection rate and accuracy rate of the image moving target detection, so that moving targets also can be accurately detected in a scenario with complicated illumination changes. The method for detecting the images includes: collecting an image, performing moving target detection on the image by using a preset mixed space-time background model, and determining a target image; wherein, the mixed space-time background model is obtained in advance by modeling according to a grayscale change trend of the image.

摘要翻译： 使用用于检测图像的方法和装置来提高图像移动目标检测的检测率和准确率，使得在具有复杂的照明变化的场景中也可以准确地检测移动目标。 用于检测图像的方法包括：收集图像，通过使用预设的混合时空背景模型对图像执行移动目标检测，以及确定目标图像; 其中，通过根据图像的灰度变化趋势进行建模，预先获得混合时空背景模型。