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公开(公告)号：US20140334740A1
公开(公告)日：2014-11-13
申请号：US14446031
申请日：2014-07-29
Applicant: QUALCOMM Incorporated
Inventor： Yingyong Qi , Ning Bi , Xuerui Zhang
IPC: G06K9/00
CPC classification number: G06K9/00536 , G06T7/20 , G06T2207/20012
Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.
Abstract translation: 实施例包括部分地基于每个像素或一组像素的相应加权值的用于上下文自适应像素处理的方法和系统。 加权值提供关于哪些像素与像素处理计算更相关的指示。 计算资源和努力可以集中在具有较高权重的像素上，这通常与某些像素处理确定相关。
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公开(公告)号：US20140286527A1
公开(公告)日：2014-09-25
申请号：US14054362
申请日：2013-10-15
Applicant: QUALCOMM Incorporated
Inventor： Ashwath Harthattu , Yingyong Qi
IPC: G06K9/00
CPC classification number: G06K9/00228 , G06K9/6257
Abstract: A method for face detection is disclosed. The method includes evaluating a scanning window using a first weak classifier in a first stage classifier. The method also includes evaluating the scanning window using a second weak classifier in the first stage classifier based on the evaluation using the first weak classifier.
Abstract translation: 公开了一种面部检测方法。 该方法包括使用第一级分类器中的第一弱分类器评估扫描窗口。 该方法还包括基于使用第一弱分类器的评估，使用第一级分类器中的第二弱分类器来评估扫描窗口。
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公开(公告)号：US11776129B2
公开(公告)日：2023-10-03
申请号：US17124401
申请日：2020-12-16
Applicant: QUALCOMM Incorporated
Inventor： Eyasu Zemene Mequanint , Yingyong Qi , Ning Bi
CPC classification number: G06T7/11 , G06T7/136 , G06T7/90 , G06T2207/10024 , G06T2207/30188
Abstract: Examples are described of segmenting an image into image regions based on depicted categories of objects, and for refining the image regions semantically. For example, a system can determine that a first image region in an image depicts a first category of object. The system can generate a color distance map of the first image region that maps color distance values to each pixel in the first image region. A color distance value quantifies a difference between a color value of a pixel in the first image region and a color value of a sample pixel in a second image region in the image. The system can process the image based on a refined variant of the first image region that is refined based on the color distance map, for instance by removing pixels from the first image region whose color distances fall below a color distance threshold.
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公开(公告)号：US10740986B2
公开(公告)日：2020-08-11
申请号：US16118237
申请日：2018-08-30
Applicant: QUALCOMM Incorporated
Inventor： Yan Deng , Michel Adib Sarkis , Yingyong Qi
Abstract: A method performed by an electronic device is described. The method includes receiving a set of frames. The set of frames describes a moving three-dimensional (3D) object. The method also includes registering the set of frames based on a canonical model. The canonical model includes geometric information and optical information. The method additionally includes fusing frame information of each frame to the canonical model based on the registration. The method further includes reconstructing the 3D object based on the canonical model.
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公开(公告)号：US10395385B2
公开(公告)日：2019-08-27
申请号：US15635059
申请日：2017-06-27
Applicant: QUALCOMM Incorporated
Inventor： Yang Zhou , Ying Chen , Yingyong Qi , Ning Bi
Abstract: In various implementations, object tracking in a video content analysis system can be augmented with an image-based object re-identification system (e.g., for person re-identification or re-identification of other objects) to improve object tracking results for objects moving in a scene. The object re-identification system can use image recognition principles, which can be enhanced by considering data provided by object trackers that can be output by an object traffic system. In a testing stage, the object re-identification system can selectively test object trackers against object models. For most input video frames, not all object trackers need be tested against all object models. Additionally, different types of object trackers can be tested differently, so that a context provided by each object tracker can be considered. In a training stage, object models can also be selectively updated.
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Patent Agency Ranking
公开(公告)号：US20180157929A1
公开(公告)日：2018-06-07
申请号：US15370867
申请日：2016-12-06
Applicant: QUALCOMM Incorporated
Inventor： Yingyong Qi , Ning Bi
CPC classification number: G06T7/0081 , G06T7/11 , G06T7/174 , G06T7/194 , G06T7/215 , G06T7/80 , G06T2207/10016 , G06T2207/20021
Abstract: A device includes a memory buffer and a processor. The memory buffer is configured to store background image-blocks corresponding to image-blocks of a plurality of image frames of a video stream. The processor is configured to partition a particular image frame of the video stream into multiple image-blocks. The processor is also configured to generate a predicted background image-block based on one or more of the background image-blocks. The processor is further configured to determine a background prediction error based on a comparison of the predicted background image-block and a corresponding image-block of the particular image frame. The processor is also configured, based on determining that the background prediction error is greater than a threshold, to extract from the image-block at least one of a background image-block corresponding to the image-block or a foreground image-block corresponding to the image-block.
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公开(公告)号：US09852511B2
公开(公告)日：2017-12-26
申请号：US13951731
申请日：2013-07-26
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Xin Zhong , Yingyong Qi , Ning Bi
IPC: G06T7/20
CPC classification number: G06T7/20 , G06T2207/10016 , G06T2207/20021 , G06T2207/20104 , G06T2207/30241
Abstract: A method for detecting and tracking a target object is described. The method includes performing motion-based tracking for a current video frame by comparing a previous video frame and the current video frame. The method also includes selectively performing object detection in the current video frame based on a tracked parameter.
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公开(公告)号：US09811732B2
公开(公告)日：2017-11-07
申请号：US14792436
申请日：2015-07-06
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Dashan Gao , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/00624 , G06K9/46 , G06K9/52 , G06K2009/4666 , G06T7/215 , G06T2207/10016 , G06T2210/12
Abstract: A method performed by an electronic device is described. The method includes determining a local motion pattern by determining a set of local motion vectors within a region of interest between a previous frame and a current frame. The method also includes determining a global motion pattern by determining a set of global motion vectors between the previous frame and the current frame. The method further includes calculating a separation metric based on the local motion pattern and the global motion pattern. The separation metric indicates a motion difference between the local motion pattern and the global motion pattern. The method additionally includes tracking an object based on the separation metric.
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29.发明授权Systems and methods for object classification, object detection and memory management 有权对象分类，对象检测和内存管理的系统和方法公开(公告)号：US09489598B2
公开(公告)日：2016-11-08
申请号：US14609104
申请日：2015-01-29
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Yang Yang , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/6269 , G06K9/4604 , G06N7/00 , G06N99/005
Abstract: A method for object classification by an electronic device is described. The method includes obtaining an image frame that includes an object. The method also includes determining samples from the image frame. Each of the samples represents a multidimensional feature vector. The method further includes adding the samples to a training set for the image frame. The method additionally includes pruning one or more samples from the training set to produce a pruned training set. One or more non-support vector negative samples are pruned first. One or more non-support vector positive samples are pruned second if necessary to avoid exceeding a sample number threshold. One or more support vector samples are pruned third if necessary to avoid exceeding the sample number threshold. The method also includes updating classifier model weights based on the pruned training set.
Abstract translation: 描述了一种通过电子设备进行物体分类的方法。 该方法包括获得包括对象的图像帧。 该方法还包括从图像帧确定样本。 每个样本表示多维特征向量。 该方法还包括将样本添加到图像帧的训练集合中。 该方法还包括从训练集修剪一个或多个样本以产生修剪的训练集。 首先修剪一个或多个非支持向量负样本。 如果必要，一个或多个非支持向量阳性样本被修剪，以避免超过样本数阈值。 如果需要，一个或多个支持向量样本被修剪为第三，以避免超过样本数阈值。 该方法还包括基于修剪的训练集更新分类器模型权重。
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公开(公告)号：US20160267325A1
公开(公告)日：2016-09-15
申请号：US14792436
申请日：2015-07-06
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Dashan Gao , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/00624 , G06K9/46 , G06K9/52 , G06K2009/4666 , G06T7/215 , G06T2207/10016 , G06T2210/12
Abstract: A method performed by an electronic device is described. The method includes determining a local motion pattern by determining a set of local motion vectors within a region of interest between a previous frame and a current frame. The method also includes determining a global motion pattern by determining a set of global motion vectors between the previous frame and the current frame. The method further includes calculating a separation metric based on the local motion pattern and the global motion pattern. The separation metric indicates a motion difference between the local motion pattern and the global motion pattern. The method additionally includes tracking an object based on the separation metric.
Abstract translation: 描述由电子设备执行的方法。 该方法包括通过确定在先前帧和当前帧之间的感兴趣区域内的一组局部运动矢量来确定局部运动模式。 该方法还包括通过确定前一帧和当前帧之间的一组全局运动矢量来确定全局运动模式。 该方法还包括基于局部运动模式和全局运动模式来计算分离度量。 分离度量指示局部运动模式和全局运动模式之间的运动差异。 该方法还包括基于分离度量跟踪对象。
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