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    • 55. 发明申请
    • TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION
    • 使用选定区域分类来跟踪和识别
    • WO2012139269A1
    • 2012-10-18
    • PCT/CN2011/072583
    • 2011-04-11
    • INTEL CORPORATIONWANG, TaoLI, JianguoDU, YangzhouLI, QiangZHANG, Yimin
    • WANG, TaoLI, JianguoDU, YangzhouLI, QiangZHANG, Yimin
    • G06K9/00
    • G06K9/00288G06K9/00221
    • Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.
    • 公开了与面部跟踪和识别有关的方法,装置和文章。 在实施例中,可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后,可以从面部的选定区域提取特征数据,以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后,可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值,则可以输出或以其他方式使用已知面部的识别。 此外,可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后,一个给定的被追踪的面孔可能与一个已知的面孔相关联。
    • 56. 发明申请
    • Detecting and indexing characters of videos by NCuts and page ranking
    • 通过NCuts和页面排名检测和索引视频的字符
    • US20090169065A1
    • 2009-07-02
    • US12006019
    • 2007-12-28
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • G06K9/00G06K9/46
    • G06K9/00268G06F17/30781
    • Apparatuses, systems, and computer program products that detect and/or index characters of videos are disclosed. One or more embodiments comprise an apparatus an apparatus having a feature extraction module and a cast indexing module. The feature extraction module may extract features of a scale invariant feature transform (SIFT) for face sets of a video and the cast indexing module may detect one or more characters of the video via one or more associations of clusters of the features. Some alternative embodiments may include a cast ranking module to sort characters of the video, considering such factors as appearance times of the characters, appearance frequencies of the characters, and page rankings of the characters. The apparatus may associate or partition the clusters based on a normalized cut process, as well as detect the characters based on measures of distances of nodes associated with the features. Numerous embodiments may detect the characters based upon partitioning the clusters via solutions for eigenvalue systems for matrices of nodes of the clusters.
    • 公开了检测和/或索引视频字符的装置,系统和计算机程序产品。 一个或多个实施例包括具有特征提取模块和铸造分度模块的装置的装置。 特征提取模块可以提取视频的面部集合的尺度不变特征变换(SIFT)的特征,并且投射索引模块可以经由特征的聚类的一个或多个关联来检测视频的一个或多个字符。 考虑到字符的出现时间,字符的出现频率以及字符的页面排序等因素,一些备选实施例可以包括用于对视频的字符进行排序的投射排序模块。 该设备可以基于归一化的切割过程来关联或分割群集,并且基于与特征相关联的节点的距离的测量来检测角色。 许多实施例可以基于通过针对簇的节点的矩阵的特征值系统的解决方案来划分簇来检测字符。
    • 57. 发明授权
    • Detecting and indexing characters of videos by NCuts and page ranking
    • 通过NCuts和页面排名检测和索引视频的字符
    • US08705810B2
    • 2014-04-22
    • US12006019
    • 2007-12-28
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • Tao WangJianguo LiDu YangzhouYimin Zhang
    • G06K9/00
    • G06K9/00268G06F17/30781
    • Apparatuses, systems, and computer program products that detect and/or index characters of videos are disclosed. One or more embodiments comprise an apparatus an apparatus having a feature extraction module and a cast indexing module. The feature extraction module may extract features of a scale invariant feature transform (SIFT) for face sets of a video and the cast indexing module may detect one or more characters of the video via one or more associations of clusters of the features. Some alternative embodiments may include a cast ranking module to sort characters of the video, considering such factors as appearance times of the characters, appearance frequencies of the characters, and page rankings of the characters. The apparatus may associate or partition the clusters based on a normalized cut process, as well as detect the characters based on measures of distances of nodes associated with the features. Numerous embodiments may detect the characters based upon partitioning the clusters via solutions for eigenvalue systems for matrices of nodes of the clusters.
    • 公开了检测和/或索引视频字符的装置,系统和计算机程序产品。 一个或多个实施例包括具有特征提取模块和铸造分度模块的装置的装置。 特征提取模块可以提取视频的面部集合的尺度不变特征变换(SIFT)的特征,并且投射索引模块可以经由特征的聚类的一个或多个关联来检测视频的一个或多个字符。 考虑到字符的出现时间,字符的出现频率以及字符的页面排序等因素,一些备选实施例可以包括用于对视频的字符进行排序的投射排序模块。 该设备可以基于归一化的切割过程来关联或分割群集,并且基于与特征相关联的节点的距离的测量来检测角色。 许多实施例可以基于通过针对簇的节点的矩阵的特征值系统的解决方案来划分簇来检测字符。