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    • 3. 发明授权
    • Annotation addition method, annotation addition system using the same, and machine-readable medium
    • 注解加法,使用注释加法系统和机器可读介质
    • US08737771B2
    • 2014-05-27
    • US13005062
    • 2011-01-12
    • Yuan LiuTao LiYinghui XuYi ChenLei Zhang
    • Yuan LiuTao LiYinghui XuYi ChenLei Zhang
    • G06K9/60G06K9/62G06K9/46G06K9/66G06F17/00
    • G06F17/30038G06F17/30256
    • Disclosed are a method and a system for adding annotations into an input medium file. The method comprises a step of creating annotation detection models based on training samples formed by existing media files having annotations; a step of extracting coexistence coefficients of any two annotations based on appearance frequencies of the annotations in the training samples; a step of inputting the input medium file; a step of extracting sense-of-vision features from the input medium file; a step of obtaining initial annotations of the input medium file; a step of acquiring candidate annotations based on the initial annotations and the coexistence coefficients of the annotations in the training samples; and a step of selecting a final annotation set from the candidate annotations based on the sense-of-vision features of the input medium file and the coexistence coefficients by using the annotation detection models.
    • 公开了一种用于将注释添加到输入介质文件中的方法和系统。 该方法包括基于由具有注释的现有媒体文件形成的训练样本来创建注释检测模型的步骤; 基于训练样本中注释的出现频率,提取任意两个注释的共存系数的步骤; 输入输入媒体文件的步骤; 从输入介质文件中提取感觉视觉特征的步骤; 获取输入媒体文件的初始注释的步骤; 基于训练样本中注释的初始注释和共存系数获取候选注释的步骤; 以及通过使用注释检测模型,基于输入介质文件的视觉特征和共存系数从候选注释中选择最终注释集的步骤。
    • 5. 发明申请
    • APPARATUS AND METHOD FOR DETECTING MULTI-VIEW SPECIFIC OBJECT
    • 用于检测多视图特定对象的装置和方法
    • US20110194779A1
    • 2011-08-11
    • US12968603
    • 2010-12-15
    • Cheng ZHONGZhongchao ShiXun YuanTong LiuTao LiGang Wang
    • Cheng ZHONGZhongchao ShiXun YuanTong LiuTao LiGang Wang
    • G06K9/68
    • G06K9/00288G06K9/6203
    • Disclosed are an apparatus and a method for determining a multi-view specific object. The apparatus comprises an input device for inputting image data; and cascade classifiers formed of stage classifiers corresponding to a same detection angle, the stage classifiers corresponding to different features. Each cascade classifier is for calculating a degree of confidence of the image data of a specific object corresponding to the detection angle based on the aspect of the corresponding feature, and determining whether the image data belongs to the specific object based on the degree of confidence. A self-adaptive posture prediction device is disposed between two stage classifiers in each cascade classifier, and is used to determine whether the image data enters the cascade classifiers corresponding to the detection angles and located after the self-adaptive posture prediction device.
    • 公开了一种用于确定多视图特定对象的装置和方法。 该装置包括用于输入图像数据的输入装置; 并且级联分类器由阶段分类器形成,对应于相同的检测角度,阶段分类器对应于不同的特征。 每个级联分类器用于基于相应特征的方面来计算与检测角度对应的特定对象的图像数据的置信度,并且基于置信度来确定图像数据是否属于特定对象。 自适应姿势预测装置设置在每个级联分类器中的两级分类器之间,并且用于确定图像数据是否进入与检测角度相对应并位于自适应姿势预测装置之后的级联分类器。
    • 6. 发明授权
    • Device and method for detecting shadow in image
    • 用于检测图像阴影的设备和方法
    • US08295606B2
    • 2012-10-23
    • US12656586
    • 2010-02-04
    • Tao LiXun YuanGang WangZhongchao Shi
    • Tao LiXun YuanGang WangZhongchao Shi
    • G06K9/62
    • G06K9/00771G06K9/6269G06T7/11G06T7/174G06T7/90G06T2207/10024G06T2207/20021
    • A device for detecting a shadow region in an image includes an imaging module generating a multi-channel image including brightness, red, green, and blue channels, a brightness correcting module correcting values of the brightness channel based on imaging parameters and outputting a corrected multi-channel image, a scene classifying module determining to carry out a shadow detection on the corrected multi-channel image, a shadow detecting module classifying pixels of the corrected multi-channel image into a shadow or non-shadow pixel, and generating a shadow classification mark matrix having pixels having a shadow classification mark value corresponding to the classification, a region segmentation module segmenting the multi-channel image into regions having pixels having similar color values, and generating a region mark matrix having pixels having a region mark value, and a post-processing module updating the shadow classification mark matrix based on the shadow classification mark matrix and region mark matrix.
    • 用于检测图像中的阴影区域的设备包括:成像模块,其生成包括亮度,红色,绿色和蓝色通道的多通道图像;亮度校正模块,其基于成像参数校正亮度通道的值,并输出校正的多个 通道图像,场景分类模块,其确定对所述校正的多通道图像执行阴影检测;阴影检测模块,将所述校正的多通道图像的像素分类为阴影或非阴影像素,并且生成阴影分类 具有与分类对应的影子分类标记值的像素的标记矩阵,将多声道图像分割为具有相似色值的像素的区域的区域分割模块,以及生成具有区域标记值的像素的区域标记矩阵,以及 后处理模块基于阴影分类标记m来更新阴影分类标记矩阵 atrix和区域标记矩阵。
    • 7. 发明申请
    • Sky detection system used in image extraction device and method using sky detection system
    • 天文检测系统用于图像提取装置和方法采用天空检测系统
    • US20100322510A1
    • 2010-12-23
    • US12801322
    • 2010-06-03
    • Xun YuanTao LiGang WangZhongchao Shi
    • Xun YuanTao LiGang WangZhongchao Shi
    • G06K9/00
    • G06K9/00697G06K9/6269
    • Disclosed is a sky detection system that detects sky in an image collection device. The system includes an image collection unit that collects information of a color image; a color-feature extraction unit that extracts a color feature of each pixel from the collected image; a distance measurement unit that measures a distance between each pixel of the collected image and a lens; a first classification unit that classifies each pixel of the collected image as either a sky pixel or a non-sky pixel based on the color feature; and a second classification unit that further classifies each pixel of the collected image as either the sky pixel or the non-sky pixel based on the distance and a result of the first classification unit.
    • 公开了一种在图像采集装置中检测天空的天体检测系统。 该系统包括:图像收集单元,其收集彩色图像的信息; 颜色特征提取单元,从所收集的图像中提取每个像素的颜色特征; 距离测量单元,其测量所收集的图像的每个像素与透镜之间的距离; 第一分类单元,其基于颜色特征将所收集的图像的每个像素分类为天空像素或非天空像素; 以及第二分类单元,其基于距离和第一分类单元的结果将所收集的图像的每个像素进一步分类为天空像素或非天空像素。
    • 10. 发明授权
    • Image processing method and device for object recognition
    • 图像处理方法和物体识别装置
    • US08254643B2
    • 2012-08-28
    • US12076676
    • 2008-03-21
    • Zhongchao ShiHaike GuanGang WangTao LiCheng Du
    • Zhongchao ShiHaike GuanGang WangTao LiCheng Du
    • G06K9/00
    • G06K9/6857G06K9/00228G06K9/00248G06K9/2054G06K9/4642
    • An object image detection device is disclosed that is able to rapidly detect an object image from an input image. The object image detection device includes an image block generation unit to generate plural image blocks from the input image for detecting the object images, an image classification unit to determine whether each of the image blocks includes one or more of the object images by using one or more features of the object images, and acquire the image blocks including the object images to be object image candidates; and a detection unit to sequentially detect the object images from the object image candidates. The image classification unit acquires the object image candidates based on a relative positional relationship between the image blocks and already-acquired object image candidates.
    • 公开了一种能够从输入图像快速检测物体图像的物体图像检测装置。 对象图像检测装置包括:图像块生成单元,用于从用于检测对象图像的输入图像生成多个图像块;图像分类单元,用于通过使用一个或多个图像块来确定每个图像块是否包括一个或多个对象图像; 获取对象图像的更多特征,并且获取包括作为对象图像候选的对象图像的图像块; 以及检测单元,用于从所述对象图像候选中顺序地检测所述对象图像。 图像分类单元基于图像块和已经获取的对象图像候选之间的相对位置关系来获取对象图像候选。