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81.发明申请公开(公告)号：US20190102661A1
公开(公告)日：2019-04-04
申请号：US16209290
申请日：2018-12-04
申请人： NEC Corporation
发明人： Hiroo IKEDA
CPC分类号： G06K9/66 , G06K9/00778 , G06K9/4604 , G06N20/00
摘要： At least one storage stores a dictionary of a discriminator acquired by machine learning by use of a plurality of pairs of crowd state image as an image which expresses a crowd state at a predetermined size and includes a person whose reference site is expressed as large as the size of the reference site of a person defined for the predetermined size, and training label for the crowd state image. At least one processor extracts regions from a given image and recognizes states of the crowds shot in the extracted regions based on the dictionary.
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82.发明申请公开(公告)号：US20190102629A1
公开(公告)日：2019-04-04
申请号：US16082763
申请日：2017-02-28
申请人： NEC CORPORATION
发明人： Hiroo IKEDA
摘要： A crowd type classification system of an aspect of the present invention includes: a staying crowd detection unit that detects a local region indicating a crowd in staying from a plurality of local regions determined in an image acquired by an image acquisition device; a crowd direction estimation unit that estimates a direction of the crowd for an image of a part corresponding to the detected local region, and appends the direction of the crowd to the local region; and a crowd type classification unit that classifies a type of the crowd including a plurality of staying persons for the local region to which the direction is appended by using a relative vector indicating a relative positional relationship between two local regions and directions of crowds in the two local regions, and outputs the type and positions of the crowds.
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公开(公告)号：US20190035093A1
公开(公告)日：2019-01-31
申请号：US16085851
申请日：2017-01-26
申请人： NEC Corporation
发明人： Ryoma OAMI , Katsuhiko TAKAHASHI , Yusuke KONISHI , Hiroshi YAMADA , Hiroo IKEDA , Junko NAKAGAWA , Kosuke YOSHIMI , Ryo KAWAI , Takuya OGAWA
摘要： An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).
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84.发明申请TRAINING DATA GENERATING DEVICE, METHOD, AND PROGRAM, AND CROWD STATE RECOGNITION DEVICE, METHOD, AND PROGRAM 有权培训数据生成设备，方法和程序，以及CROWD状态识别设备，方法和程序公开(公告)号：US20160132755A1
公开(公告)日：2016-05-12
申请号：US14899340
申请日：2014-05-21
申请人： NEC CORPORATION
发明人： Hiroo IKEDA
CPC分类号： G06K9/66 , G06K9/00778 , G06K9/4604 , G06N99/005
摘要： To provide a training data generating device capable of easily generating a large amount of training data used for machine-learning a dictionary of a discriminator for recognizing a crowd state. A person state determination unit 72 determines a person state of a crowd according to a people state control designation as designation information on a person state of people and an individual person state control designation as designation information on a state of an individual person in the people. A crowd state image synthesis unit 73 generates a crowd state image as an image in which a person image corresponding to the person state determined by the person state determination unit 72 is synthesized with an image at a predetermined size acquired by a background extraction unit 71, and specifies a training label for the crowd state image.
摘要翻译： 提供能够容易地生成用于机器学习用于识别人群状态的鉴别器的字典的大量训练数据的训练数据生成装置。 个人状态决定部72根据人的状态控制指定，将人的状态控制指定作为人的状态的指定信息和个人的状态控制指定，确定人群中的人的状态，作为人的个人状态的指定信息。 人群状态图像合成单元73生成人脸状态图像作为其中由人物状态确定单元72确定的人物状态对应的人物图像以由背景提取单元71获取的预定尺寸的图像合成的图像， 并指定人群状态图像的训练标签。
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85.发明申请CAMERA POSITION POSTURE EVALUATING DEVICE, CAMERA POSITION POSTURE EVALUATING METHOD, AND CAMERA POSITION POSTURE EVALUATING PROGRAM 有权摄像机位置评估设备，摄像机位置姿态评估方法和摄像机位置姿态评估程序公开(公告)号：US20150339537A1
公开(公告)日：2015-11-26
申请号：US14410236
申请日：2013-06-06
申请人： NEC Corporation
发明人： Hiroo IKEDA
CPC分类号： G06K9/3241 , G06K9/00771 , G06T7/33 , G06T2207/30196 , G06T2207/30232 , G06T2207/30244 , H04N5/232 , H04N5/23219 , H04N5/23222 , H04N17/02
摘要： There is provided a camera position posture evaluating device which can calculate a value which indicates an evaluation of a state of a camera from a viewpoint of to what degree an object appears in an image suitably for image processing. A resolution evaluating means 71 calculates a first suitability rate matching each position in a target area from a viewpoint of resolution. A gazing point angle evaluating means 72 calculates a second suitability rate matching each position in the target area. A target area evaluating means 73 calculates a third suitability rate from a viewpoint of how a target object field-of-view area and the target area overlap. A comprehensive evaluating means 74 calculates an evaluation index which indicates to what degree the state of the camera is suitable to the image processing based on the first suitability rate matching each position in the target area, the second suitability rate matching each position in the target area and the third suitability rate.
摘要翻译： 提供了一种照相机姿势评价装置，其可以从适当地用于图像处理的图像中出现任何对象的角度来计算指示照相机的状态的评价的值。 分辨率评估装置71从分辨率的角度计算与目标区域中的每个位置匹配的第一适合度。 注视点角度评估装置72计算与目标区域中的每个位置匹配的第二适合性速率。 目标区域评估装置73从目标对象视野区域和目标区域的重叠的角度计算第三适用率。 综合评价装置74基于与目标区域中的每个位置匹配的第一适合性速率来计算指示摄像机的状态在多大程度上适合于图像处理的评估指标，与目标区域中的每个位置匹配的第二适合性速率 和第三适合率。
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