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    • 2. 发明授权
    • Object tracking method and device
    • 对象跟踪方法和设备
    • US09298990B2
    • 2016-03-29
    • US14568223
    • 2014-12-12
    • Ganmei YouYaojie LuZhongchao ShiChao ChenGang Wang
    • Ganmei YouYaojie LuZhongchao ShiChao ChenGang Wang
    • G06K9/00G06K9/52G06K9/46G06K9/62
    • G06K9/00624G06K9/00805G06K9/4604G06K9/52G06K9/6215G06T7/246G06T2207/10021G06T2207/10028G06T2207/20068G06T2207/20076G06T2207/30252
    • Disclosed is an object tracking method. The method includes steps of obtaining a first boundary region of a waiting-for-recognition object in the disparity map related to the current frame; calculating a probability of each valid pixel in the first boundary region so as to get a pixel probability map of the waiting-for-recognition object; obtaining historic tracking data of each tracked object, which includes identifier information of the tracked object and a pixel probability map related to each of one or more prior frame related disparity maps prior to the disparity map related to the current frame; determining identifier information of the waiting-for-recognition object, and updating the pixel probability map of the waiting-for-recognition object; and updating, based on the updated pixel probability map of the waiting-for-recognition object, the first boundary region of the waiting-for-recognition object, so as to get a second boundary region of the waiting-for-recognition object.
    • 公开了一种物体跟踪方法。 该方法包括以下步骤:获得与当前帧相关的视差图中等待识别对象的第一边界区域; 计算第一边界区域中的每个有效像素的概率,以获得等待识别对象的像素概率图; 获得每个跟踪对象的历史跟踪数据,其包括跟踪对象的标识符信息和与在与当前帧相关的视差图之前的一个或多个先前帧相关视差图中的每一个相关的像素概率图; 确定等待识别对象的标识符信息,以及更新等待识别对象的像素概率图; 以及基于等待识别对象的更新的像素概率图来更新等待识别对象的第一边界区域,以获得等待识别对象的第二边界区域。
    • 8. 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。
    • 9. 发明授权
    • Night-scene light source detecting device and night-scene light source detecting method
    • 夜景光源检测装置和夜景光源检测方法
    • US08655060B2
    • 2014-02-18
    • US13333492
    • 2011-12-21
    • Xun YuanZhongchao ShiCheng ZhongTong LiuGang Wang
    • Xun YuanZhongchao ShiCheng ZhongTong LiuGang Wang
    • G06K9/00
    • G06K9/00684H04N5/23222H04N5/2351H04N9/735
    • A night-scene light source detecting device includes a pixel value obtaining unit configured to obtain a pixel value of each pixel in an input image; a night-scene-feature extraction unit provided for extracting a zone area of a mean corrected-brightness value and a high corrected-brightness value of the input image as two night-scene features based on the pixel value of each pixel in the input image; a night-scene image detection unit provided for determining whether the input image is a night-scene image or not based on the two night-scene features; a specific color detection unit provided for detecting whether each pixel belongs to specific color or not; and a night-scene light source determining unit provided for determining whether the night-scene image is picked up under irradiation by the specific light sources in a night scene or not based on the result of the specific color detection.
    • 夜景光源检测装置包括:像素值获取单元,被配置为获得输入图像中的每个像素的像素值; 夜景特征提取单元,用于基于输入图像中的每个像素的像素值,将输入图像的平均校正亮度值和高校正亮度值的区域区域提取为两个夜景特征 ; 夜景图像检测单元,用于基于所述两个夜景特征来确定所述输入图像是否为夜景图像; 用于检测每个像素是否属于特定颜色的特定颜色检测单元; 以及夜景光源确定单元,用于基于特定颜色检测的结果来确定是否在夜景中通过特定光源在特定光源的照射下拾取夜景场景图像。
    • 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。