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    • 3. 发明申请
    • METHOD AND APPARATUS FOR IDENTIFYING OBSTACLE IN IMAGE
    • 用于识别图像中的障碍物的方法和装置
    • US20110262009A1
    • 2011-10-27
    • US13133546
    • 2009-04-30
    • Bobo DuanWei LiuHuai Yuan
    • Bobo DuanWei LiuHuai Yuan
    • G06K9/00
    • G06K9/00805
    • A method for identifying barriers in images is disclosed. In the method, images of a current frame and N frame which is nearest to the current frame are obtained, the obtained images of the frames are divided in the same way, and the image of each frame obtains a plurality of divided block regions; the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame is calculated; whether each block region in the image of the current frame is decided successively according to the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame; the barriers in the images are determined according to each block region.
    • 公开了一种用于识别图像中的障碍物的方法。 在该方法中,获得与当前帧最近的当前帧和N帧的图像,以相同的方式划分所获得的帧的图像,并且每帧的图像获得多个分割块区域; 计算对应于当前帧的每个块区域和最接近当前帧的N帧的运动屏障置信度; 根据与当前帧对应的每个块区域的运动屏障置信度和最接近当前帧的N帧,连续确定当前帧图像中的每个块区域; 根据每个块区域确定图像中的屏障。
    • 4. 发明授权
    • Method and apparatus for identifying obstacle in image
    • 用于识别图像中的障碍物的方法和装置
    • US08406474B2
    • 2013-03-26
    • US13133546
    • 2009-04-30
    • Bobo DuanWei LiuHuai Yuan
    • Bobo DuanWei LiuHuai Yuan
    • G06K9/00H04N5/225
    • G06K9/00805
    • A method for identifying barriers in images is disclosed. In the method, images of a current frame and N frame which is nearest to the current frame are obtained, the obtained images of the frames are divided in the same way, and the image of each frame obtains a plurality of divided block regions; the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame is calculated; whether each block region in the image of the current frame is decided successively according to the motion barrier confidence of each block region corresponding to the current frame and the N frame which is nearest to the current frame; the barriers in the images are determined according to each block region.
    • 公开了一种用于识别图像中的障碍物的方法。 在该方法中,获得与当前帧最近的当前帧和N帧的图像,以相同的方式划分所获得的帧的图像,并且每帧的图像获得多个分割块区域; 计算对应于当前帧的每个块区域和最接近当前帧的N帧的运动屏障置信度; 根据与当前帧对应的每个块区域的运动屏障置信度和最接近当前帧的N帧,连续确定当前帧图像中的每个块区域; 根据每个块区域确定图像中的屏障。
    • 9. 发明授权
    • Vehicle headlight detecting method and apparatus, and region-of-interest segmenting method and apparatus
    • 车头灯检测方法和装置,以及利益分割方法和装置
    • US08155381B2
    • 2012-04-10
    • US12341193
    • 2008-12-22
    • Chunyan SongWei LiuHuai Yuan
    • Chunyan SongWei LiuHuai Yuan
    • G06K9/00
    • G06K9/3233G06K9/00785G06K9/00825
    • A method and apparatus for detecting vehicle headlights and a region-of-interest (ROI) segmenting method and apparatus are disclosed. The ROI segmenting method includes: performing an edge extracting operation on a captured image to obtain edges of the captured image; selecting edges meeting predetermined criteria from the obtained edges, the predetermined criteria being the similarity between the region surrounded by the selected edges and the pattern formed by a vehicle headlight in physical reality at a position of the selected edges; determining the region surrounded by the selected edges within the captured image as a vehicle headlight pattern; and segmenting the ROI which potentially includes the vehicle pattern from the captured image based on the determined vehicle headlight pattern. With such a method and apparatus, the ROI of a vehicle may be acquired from the image without using the vehicle's bottom shadow.
    • 公开了一种用于检测车辆前灯和感兴趣区域(ROI)分割方法和装置的方法和装置。 ROI分割方法包括:对拍摄图像执行边缘提取操作以获得拍摄图像的边缘; 从所获得的边缘选择满足预定标准的边缘,所述预定标准是在所选边缘的位置处的物理现实中由所选边缘包围的区域与由车辆前灯形成的图案之间的相似度; 确定由拍摄图像内的所选边缘包围的区域作为车辆头灯图案; 以及基于所确定的车辆头灯图案,从捕获的图像分割潜在地包括车辆图案的ROI。 利用这种方法和装置,可以从图像中获取车辆的ROI,而不使用车辆的底部阴影。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR DETERMINING A CLASSIFICATION BOUNDARY FOR AN OBJECT CLASSIFIER
    • 用于确定对象分类器的分类边界的方法和装置
    • US20080118161A1
    • 2008-05-22
    • US11940063
    • 2007-11-14
    • Wei LiuHuai Yuan
    • Wei LiuHuai Yuan
    • G06K9/62
    • G06K9/6269G06K2209/23
    • The invention relates to a method and apparatus for determining a classification boundary between an object, such as a vehicle, and a background, using an object classifier. In an embodiment of the invention, a trained classifier is configured to classify and recognize each a plurality of object images and a plurality of background images. Next, a confidence probability density distribution function is calculated for the vehicle and the background using the determined confidence values for the vehicle images and background images. Once the probability density distribution functions for the vehicle and the background are calculated, the classification boundary between the vehicle and the background is determined using the probability density distribution functions for the vehicle or the background, or both, and a predefined model that is appropriate for the application.
    • 本发明涉及一种使用对象分类器确定诸如车辆的对象与背景之间的分类边界的方法和装置。 在本发明的实施例中,经过训练的分类器被配置为对多个对象图像和多个背景图像进行分类和识别。 接下来,使用所确定的车辆图像和背景图像的置信度,针对车辆和背景来计算置信概率密度分布函数。 一旦计算了车辆和背景的概率密度分布函数,则使用车辆或背景的概率密度分布函数或两者来确定车辆与背景之间的分类边界,以及适用于 应用程序。