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公开(公告)号：US20150326845A1
公开(公告)日：2015-11-12
申请号：US14697804
申请日：2015-04-28
申请人： Lingyan LIANG , Ying ZHAO , Liyan LIU
发明人： Lingyan LIANG , Ying ZHAO , Liyan LIU
CPC分类号： G06T7/0097 , G06F3/017 , G06T5/002 , G06T5/50 , G06T7/11 , G06T7/174 , G06T7/187 , G06T7/194 , G06T2200/04 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , H04N13/128
摘要： Disclosed is a method comprising steps of conducting image preprocessing so as to respectively obtain a candidate object region including a foreground image in a depth map and a color image; determining whether it is necessary to conduct a region growing process with respect to the candidate object region of the depth map; in the former case, conducting the region growing process with respect to the candidate object region of the depth map; and conducting, after the region growing process is conducted with respect to the candidate object region of the depth map, a depth value restoration process with respect to a candidate region.
摘要翻译： 公开了一种方法，包括进行图像预处理以分别获得包括深度图和彩色图像中的前景图像的候选对象区域的步骤; 确定是否需要针对深度图的候选对象区域进行区域增长处理; 在前一种情况下，对深度图的候选对象区域进行区域增长处理; 并且在相对于深度图的候选对象区域进行区域生长处理之后进行相对于候选区域的深度值恢复处理。
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公开(公告)号：US20150055828A1
公开(公告)日：2015-02-26
申请号：US14461558
申请日：2014-08-18
申请人： Ying ZHAO , Liyan LIU , Lingyan LIANG
发明人： Ying ZHAO , Liyan LIU , Lingyan LIANG
CPC分类号： G06K9/00355 , G01S17/50 , G06T7/20 , G06T7/215 , G06T7/248 , G06T2207/10028 , G06T2207/20021 , G06T2207/30196
摘要： A moving object detection method includes acquiring two depth image frames including depth information, which are obtained by continuously taking images of a moving object, the two depth image frames including a present depth image frame and at least one past depth image frame; dividing each of the two depth image frames into a plurality of blocks; calculating differences between numbers of pixels positioned in respective different depth areas in each of the plurality of blocks in the present depth image frame, and numbers of pixels positioned in respective different depth areas in each of the corresponding plurality of blocks in each of the at least one past depth image frame, which correspond to the plurality of blocks in the present depth image frame; and detecting a moving block in the present depth image frame based on the calculated difference and constituting the detected moving object.
摘要翻译： 移动物体检测方法包括获取包括深度信息的两个深度图像帧，所述深度信息通过连续拍摄移动物体的图像，所述两个深度图像帧包括当前深度图像帧和至少一个过去深度图像帧; 将两个深度图像帧中的每一个划分为多个块; 计算位于本深度图像帧中的多个块中的每一个中的相应不同深度区域中的像素的数量之间的差异，以及位于每个至少在每个的相应多个块中的相应不同深度区域中的像素的数量 一个过去的深度图像帧，其对应于当前深度图像帧中的多个块; 并且基于所计算的差异检测当前深度图像帧中的移动块，并构成检测到的移动对象。
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3.发明申请公开(公告)号：US20180359415A1
公开(公告)日：2018-12-13
申请号：US15955858
申请日：2018-04-18
申请人： Lingyan LIANG
发明人： Lingyan LIANG
CPC分类号： H04N5/23238 , G06T5/002 , G06T7/246 , G06T2207/10016 , G06T2207/20201 , G06T2207/30241 , H04N5/23254 , H04N5/23264 , H04N5/23267 , H04N5/357
摘要： Panoramic video processing method and device are disclosed. The method includes steps of receiving a panoramic video waiting for processing; conducting inter frame motion estimation in regard to any two neighboring 2D panoramic images in the panoramic video so as to obtain an inter frame motion estimation result between the same two neighboring 2D panoramic images; acquiring, based on the respective inter frame motion estimation results, a historical motion trajectory of the panoramic video, and carrying out smoothing with respect to the historical motion trajectory; calculating, based on the historical motion trajectory after smoothing, a rotation matrix for motion compensation pertaining to each 2D panoramic image in the panoramic video; and performing reconstruction on each 2D panoramic image in the panoramic video by means of the corresponding rotation matrix for motion compensation so as to attain a panoramic video after image stabilization, and outputting the panoramic video after image stabilization.
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公开(公告)号：US20150206004A1
公开(公告)日：2015-07-23
申请号：US14600402
申请日：2015-01-20
申请人： Lingyan LIANG , Gang WANG
发明人： Lingyan LIANG , Gang WANG
CPC分类号： G06T7/204 , G06K9/00355 , G06K9/6212 , G06T7/248 , G06T7/277 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196
摘要： Disclosed is an object tracking method comprising steps of obtaining a grayscale image sequence and a depth image sequence; predicting a candidate target region of a tracking object in a current image; determining a depth weight image of the candidate target region; acquiring a target template which is expressed by a probability density distribution of features; expressing, by a probability density distribution of features, a candidate target whose position moves in the candidate target region; calculating, based on a probability density expression of the target template and a probability density expression of the candidate target, a similarity between the target template and the candidate target, so as to get a confidence level image of the candidate target region; and locating, based on the confidence level image of the candidate target region, a position of the tracking object in the current image.
摘要翻译： 公开了一种物体跟踪方法，包括获得灰阶图像序列和深度图像序列的步骤; 预测当前图像中的跟踪对象的候选对象区域; 确定候选目标区域的深度权重图像; 获取由特征的概率密度分布表示的目标模板; 通过特征的概率密度分布来表达位置在候选目标区域中移动的候选目标; 基于目标模板的概率密度表达式和候选目标的概率密度表达式计算目标模板和候选目标之间的相似度，以获得候选目标区域的置信水平图像; 以及基于候选目标区域的置信度图像来定位跟踪对象在当前图像中的位置。
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公开(公告)号：US20150055829A1
公开(公告)日：2015-02-26
申请号：US14465784
申请日：2014-08-21
申请人： Lingyan LIANG
发明人： Lingyan LIANG
CPC分类号： G06K9/00536 , G06K9/00355 , G06K9/4642 , G06T7/248 , G06T2207/20021 , G06T2207/30241
摘要： A method and an apparatus for tracking an object are disclosed. The method includes determining a first position by a first tracking template and determining a second position by a second tracking template, the first and second tracking templates being formed based on first and second feature sets, respectively, the first feature set being different from the second feature set, and the first feature set and the second feature set including one or more features; and determining a final position based on the first position and the second position, wherein the first tracking template is updated for each of a predetermined number of frames, the second tracking template is updated based on a predetermined rule, the second tracking template and the first tracking template are independently updated, and the update frequency of the second tracking template is lower than the first tracking template.
摘要翻译： 公开了一种跟踪对象的方法和装置。 该方法包括通过第一跟踪模板确定第一位置并通过第二跟踪模板确定第二位置，所述第一和第二跟踪模板分别基于第一和第二特征集形成，第一特征集分别与第二跟踪模板 特征集合，以及包括一个或多个特征的第一特征集和第二特征集合; 以及基于所述第一位置和所述第二位置确定最终位置，其中，针对预定数量的帧中的每一个更新所述第一跟踪模板，基于预定规则，所述第二跟踪模板和所述第一跟踪模板来更新所述第二跟踪模板 跟踪模板被独立地更新，并且第二跟踪模板的更新频率低于第一跟踪模板。
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