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    • 3. 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。
    • 9. 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。
    • 10. 发明授权
    • Method and system for detecting vehicle position by employing polarization image
    • 采用偏振图像检测车辆位置的方法和系统
    • US08983126B2
    • 2015-03-17
    • US13589393
    • 2012-08-20
    • Tong LiuZhongchao ShiCheng ZhongYuan LiuYi Chen
    • Tong LiuZhongchao ShiCheng ZhongYuan LiuYi Chen
    • G06K9/00
    • G06K9/00805G06K9/00798
    • Disclosed are a method and a system for detecting a vehicle position by employing a polarization image. The method comprises a step of capturing a polarization image by using a polarization camera; a step of acquiring two road shoulders in the polarization image based on a difference between a road surface and each of the two road shoulders in the polarization image, and determining a part between the two road shoulders as the road surface; a step of detecting at least one vehicle bottom from the road surface based on a significant pixel value difference between each wheel and the road surface in the polarization image; and a step of generating a vehicle position from the vehicle bottom based on a pixel value difference between a vehicle outline corresponding to the vehicle bottom and background in the polarization image.
    • 公开了一种通过采用偏振图像来检测车辆位置的方法和系统。 该方法包括通过使用偏振照相机捕获偏振图像的步骤; 基于所述偏振图像中的路面与所述两个路肩中的每一个之间的差异,在所述偏振图像中获取两个路肩的步骤,以及确定所述两个路肩之间的部分作为所述路面; 基于所述偏振图像中的每个车轮与所述路面之间的有效像素值差异,从所述路面检测至少一个车辆底部的步骤; 以及基于车辆底部对应的车辆轮廓与偏振图像中的背景之间的像素值差异,从车辆底部产生车辆位置的步骤。