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1. 发明授权

US08527439B2 Pattern identification method, parameter learning method and apparatus 有权
标题翻译：模式识别方法，参数学习方法和装置
公开(公告)号：US08527439B2
公开(公告)日：2013-09-03
申请号：US12205174
申请日：2008-09-05
申请人： Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
发明人： Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
IPC分类号： G06F17/00
CPC分类号： G06K9/6282 , G06K9/68
摘要： In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.
摘要翻译：在通过顺序地执行多个分类处理的组合将输入数据分类为预定类别的模式识别方法中，至少一个分类处理包括映射步骤，其将输入数据映射到N（N> = 2 ）维特征空间作为对应点，确定步骤，基于对应点确定是否执行下一个分类处理;以及选择步骤，基于对应点选择下一个执行的分类处理下一个分类过程应该执行的确定步骤。

2. 发明申请

US20090324060A1 LEARNING APPARATUS FOR PATTERN DETECTOR, LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM 有权
标题翻译：模式检测器，学习方法和计算机可读存储介质的学习设备
公开(公告)号：US20090324060A1
公开(公告)日：2009-12-31
申请号：US12485020
申请日：2009-06-15
申请人： Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
发明人： Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
IPC分类号： G06K9/62
CPC分类号： G06K9/6257 , G06K9/00228 , G06K9/4609 , G06K9/6282
摘要： A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, acquires a plurality of data for learning in each of which whether or not the specific pattern is included is given, makes the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the acquired data for learning, selects a plurality of weak classifiers to be composited from the weak classifiers which have learned, and composites the plurality of weak classifiers into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers.
摘要翻译：一种用于模式检测器的学习装置，包括多个弱分类器，并通过多个弱分类器的分类从输入数据检测特定模式，获取多个用于学习的数据，每个数据是否具体模式是通过使多个弱分类器从所获取的学习数据中检测出特定模式，使得多个弱分类器学习，从已经学习的弱分类器中选择要合成的多个弱分类器，并且复合多个弱分类器基于复合弱分类器的性能与多个弱分类器的性能之间的比较，将弱分类器转换为一个复合弱分类器。

3. 发明授权

US09092662B2 Pattern recognition method and pattern recognition apparatus 有权
标题翻译：模式识别方法和模式识别装置
公开(公告)号：US09092662B2
公开(公告)日：2015-07-28
申请号：US12970712
申请日：2010-12-16
申请人： Takashi Suzuki , Katsuhiko Mori , Hiroshi Sato
发明人： Takashi Suzuki , Katsuhiko Mori , Hiroshi Sato
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06K9/00288 , G06K9/00281
摘要： A pattern recognition apparatus that recognizes a data attribute of input data calculates correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute, combines, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute, integrates correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute, and identifies the data attribute of the input data based on the calculated similarity.
摘要翻译：识别输入数据的数据属性的模式识别装置针对每个数据属性准备的多个字典数据中的每一个，计算输入数据和字典数据之间的对应局部模式的特征量的相关值，计算每个字典数据的本地模式的相关值以获取每个数据属性的一组相关值，对包含在每个数据属性的每组相关值中的相关值进行积分，以计算每个数据属性的输入数据的相似度，并基于所计算的相似度来识别输入数据的数据属性。

4. 发明授权

US08331655B2 Learning apparatus for pattern detector, learning method and computer-readable storage medium 有权
标题翻译：用于图案检测器，学习方法和计算机可读存储介质的学习装置
公开(公告)号：US08331655B2
公开(公告)日：2012-12-11
申请号：US12485020
申请日：2009-06-15
申请人： Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
发明人： Hiroshi Sato , Katsuhiko Mori , Masakazu Matsugu , Kan Torii , Yuji Kaneda , Takashi Suzuki
IPC分类号： G06K9/62 , G06K9/40
CPC分类号： G06K9/6257 , G06K9/00228 , G06K9/4609 , G06K9/6282
摘要： A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, acquires a plurality of data for learning in each of which whether or not the specific pattern is included is given, makes the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the acquired data for learning, selects a plurality of weak classifiers to be composited from the weak classifiers which have learned, and composites the plurality of weak classifiers into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers.
摘要翻译：一种用于模式检测器的学习装置，包括多个弱分类器，并通过多个弱分类器的分类从输入数据检测特定模式，获取多个用于学习的数据，每个数据是否具体模式是通过使多个弱分类器从所获取的用于学习的数据中检测到特定模式，使多个弱分类器学习，从已经学习的弱分类器中选择要合成的多个弱分类器，并且复合多个基于复合弱分类器的性能与多个弱分类器的性能之间的比较，将弱分类器转换为一个复合弱分类器。

5. 发明申请

US20090089235A1 PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS 有权
标题翻译：模式识别方法，参数学习方法和装置
公开(公告)号：US20090089235A1
公开(公告)日：2009-04-02
申请号：US12205174
申请日：2008-09-05
申请人： Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
发明人： Kan Torii , Katsuhiko Mori , Yusuke Mitarai , Hiroshi Sato , Yuji Kaneda , Takashi Suzuki
IPC分类号： G06N5/02
CPC分类号： G06K9/6282 , G06K9/68
摘要： In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed.
摘要翻译：在通过顺序地执行多个分类处理的组合将输入数据分类为预定类别的模式识别方法中，至少一个分类处理包括映射步骤，其将输入数据映射到N（N> = 2 ）维特征空间作为对应点，确定步骤，基于对应点确定是否执行下一个分类处理;以及选择步骤，基于对应点选择下一个执行的分类处理下一个分类过程应该执行的确定步骤。

6. 发明申请

US20110158540A1 PATTERN RECOGNITION METHOD AND PATTERN RECOGNITION APPARATUS 有权
标题翻译：模式识别方法和模式识别装置
公开(公告)号：US20110158540A1
公开(公告)日：2011-06-30
申请号：US12970712
申请日：2010-12-16
申请人： Takashi Suzuki , Katsuhiko Mori , Hiroshi Sato
发明人： Takashi Suzuki , Katsuhiko Mori , Hiroshi Sato
IPC分类号： G06K9/46
CPC分类号： G06K9/00288 , G06K9/00281
摘要： A pattern recognition apparatus that recognizes a data attribute of input data calculates correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute, combines, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute, integrates correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute, and identifies the data attribute of the input data based on the calculated similarity.
摘要翻译：识别输入数据的数据属性的模式识别装置针对每个数据属性准备的多个字典数据中的每一个，计算输入数据和字典数据之间的对应局部模式的特征量的相关值，计算每个字典数据的本地模式的相关值以获取每个数据属性的一组相关值，对包含在每个数据属性的每组相关值中的相关值进行积分，以计算每个数据属性的输入数据的相似度，并基于所计算的相似度来识别输入数据的数据属性。

7. 发明授权

US08538091B2 Image processing apparatus and method, and storage medium 有权
标题翻译：图像处理装置和方法以及存储介质
公开(公告)号：US08538091B2
公开(公告)日：2013-09-17
申请号：US12147123
申请日：2008-06-26
申请人： Yuji Kaneda , Katsuhiko Mori , Hiroshi Sato
发明人： Yuji Kaneda , Katsuhiko Mori , Hiroshi Sato
IPC分类号： G06K9/00
CPC分类号： G06K9/00845 , G06K9/00315 , G06K9/0061 , G06K9/4628
摘要： An image-processing apparatus for executing accurate facial expression recognition even for a subject hard to recognize a facial expression is provided. A person's face region is extracted from an image input from an image input unit. A predetermined partial region that changes between when the facial expression is in the first and second states is extracted from the extracted face region. A facial expression evaluation value is calculated using an evaluation value calculation formula. When the calculated facial expression evaluation value exceeds a threshold value, it is determined that the facial expression is in the second state. If the difference between the maximum value and the minimum value of the calculated facial expression evaluation value within a predetermined time is smaller than a predetermined value, the evaluation value calculation formula or its parameter is changed to increase the difference.
摘要翻译：提供了即使对于难以识别面部表情的对象也执行准确的面部表情识别的图像处理装置。从图像输入单元输入的图像中提取人脸区域。从所提取的面部区域中提取在面部表情处于第一状态和第二状态之间时的变化的预定部分区域。使用评价值计算公式计算面部表情评价值。当所计算的面部表情评估值超过阈值时，确定面部表情处于第二状态。如果计算出的面部表情评估值的最大值与最小值之间的差在预定时间内小于预定值，则改变评估值计算公式或其参数以增加差异。

8. 发明授权

US07945938B2 Network camera system and control method therefore 有权
标题翻译：网络摄像机系统和控制方法
公开(公告)号：US07945938B2
公开(公告)日：2011-05-17
申请号：US11417578
申请日：2006-05-04
申请人： Tetsuhiro Takanezawa , Hiroyuki Ohsawa , Hiroshi Sato , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Yusuke Mitarai
发明人： Tetsuhiro Takanezawa , Hiroyuki Ohsawa , Hiroshi Sato , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Yusuke Mitarai
IPC分类号： H04N7/173
CPC分类号： H04N5/232 , G08B13/196 , H04N5/23206 , H04N5/23238 , H04N5/2624 , H04N7/183
摘要： A network camera system is provided that detects an occurrence of a condition change at a periphery of an image pickup apparatus, obtains a direction of the detected condition change, and notifies a user of the occurrence of the condition change and a direction of the condition change on a display of a terminal device.
摘要翻译：提供了一种网络摄像机系统，其检测图像拾取装置的周边处的状况变化的发生，获得检测到的条件变化的方向，并且向用户通知条件变化的发生和条件变化的方向在终端设备的显示器上。

9. 发明申请

US20110103695A1 IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD 有权
标题翻译：图像处理装置和图像处理方法
公开(公告)号：US20110103695A1
公开(公告)日：2011-05-05
申请号：US12914439
申请日：2010-10-28
申请人： Hiroshi Sato , Masakazu Matsugu , Katsuhiko Mori
发明人： Hiroshi Sato , Masakazu Matsugu , Katsuhiko Mori
IPC分类号： G06K9/46
CPC分类号： G06K9/4604 , G06K9/00248 , G06K9/6256
摘要： Corresponding partial features are extracted from an input pattern and a registration pattern as a preregistered pattern. A plurality of combinations of the partial features are generated as composited partial features. One of registration pattern classes to which the input pattern corresponds is identified by using the plurality of composited partial features. The identification is performed based on the result of evaluation of the partial features which belong to the composited partial feature and correspond to each other in the input pattern and the registration pattern. In the evaluation, the composited partial feature is evaluated based on the measurement result of the quantity of partial features meeting a predetermined criterion.
摘要翻译：从输入图案和注册图案中提取相应的部分特征作为预注册图案。产生部分特征的多个组合作为合成部分特征。通过使用多个合成的部分特征来识别输入图案对应的注册图案类之一。基于属于合成部分特征的部分特征的评估结果进行识别，并且在输入图案和登记图案中彼此对应。在评估中，基于满足预定标准的部分特征量的测量结果来评估合成部分特征。

10. 发明授权

US07639282B2 Image sensing device that acquires a movie of a person or an object and senses a still image of the person or the object, and control method thereof 有权
标题翻译：获取人物或物体的电影并感测人或物体的静止图像的图像感测装置及其控制方法
公开(公告)号：US07639282B2
公开(公告)日：2009-12-29
申请号：US11392810
申请日：2006-03-30
申请人： Yuji Kaneda , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
发明人： Yuji Kaneda , Masakazu Matsugu , Masami Kato , Katsuhiko Mori , Hiroshi Sato , Yusuke Mitarai
IPC分类号： H04N5/228
CPC分类号： G06K9/00335 , H04N1/2112 , H04N5/232 , H04N2101/00 , H04N2201/3264 , H04N2201/3274
摘要： An image sensing device collects the speech and image of a person to be sensed and carries out recognition of the collected speech. When the image sensing device determines as the recognition result that the speech represents a predetermined sentence, the image sensing device performs recognition on an acquired image. When the image sensing device determines as a recognition result that the image is a human face showing a predetermined facial expression, the image sensing device records the image and audio information.
摘要翻译：图像感测装置收集要感测的人的语音和图像，并且对所收集的语音进行识别。当图像感测装置确定语音表示预定句子的识别结果时，图像感测装置对所获取的图像执行识别。当图像感测装置确定图像是显示预定面部表情的人脸的识别结果时，图像感测装置记录图像和音频信息。

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