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公开(公告)号：US10712204B2
公开(公告)日：2020-07-14
申请号：US15430256
申请日：2017-02-10
Applicant: Google Inc.
Inventor： Yash Modi , Mark Rajan Malhotra , Gwendolyn van der Linden , Dongeek Shin , Michael Dixon
IPC: G01J5/00 , G08B13/193 , G08B13/191 , G01J5/02 , G01J5/10
Abstract: A method includes detecting, with a passive infrared sensor (PIR), a level of infrared radiation in a field of view (FOV) of the PIR, generating a signal based on detected levels over a period of time, the signal having values that exhibit a change in the detected levels, extracting a local feature from a sample of the signal, wherein the local feature indicates a probability that a human in the FOV caused the change in the detected levels, extracting a global feature from the sample of the signal, wherein the global feature indicates a probability that an environmental radiation source caused the change in the detected levels, determining a score based on the local feature and the global feature, and determining that a human motion has been detected in the FOV based on the score.
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公开(公告)号：US20170270681A1
公开(公告)日：2017-09-21
申请号：US15582755
申请日：2017-04-30
Applicant: Google Inc.
Inventor： Ghulam Ahmed Kirmani , Andea A. Colaco , Dongeek Shin
CPC classification number: G06T7/586 , G06K9/00624 , G06K9/2036 , G06T15/506 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/20104 , G06T2207/30232 , G06T2207/30244 , H04N5/33 , H04N7/181 , H04N7/183 , H04N13/207 , H04N13/243 , H04N13/254 , H04N13/271
Abstract: A process generates a lookup table to estimate spatial depth in a visual scene. The process identifies subsets of illuminators of a camera system with image sensors and illuminators. The image sensors are associated with multiple pixels. For each pixel, and for each of multiple depths from the pixel, the process simulates a virtual surface at the depth. For each subset of the subsets of illuminators, the process simulates illumination of the virtual surface from the subset and determines an expected light intensity at the pixel from light reflected from the virtual surface due to the simulated illumination. The process forms intensity information from the expected light intensity determined for the pixel for each of the depths and each of the subsets. The process constructs a lookup table comprising the intensity information. The lookup table associates the intensity information for each pixel with the respective depth and the respective subset.
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公开(公告)号：US09626849B2
公开(公告)日：2017-04-18
申请号：US14738816
申请日：2015-06-12
Applicant: GOOGLE INC.
Inventor： Michael Dixon , Dongeek Shin , George Alban Heitz, III , Srivatsan Varadharajan
IPC: H04N7/18 , G08B13/196 , H04N5/14 , G06K9/00
CPC classification number: G08B13/19606 , G06K9/00771 , G06K9/2036 , G08B13/19604 , G08B13/19608 , G08B13/1961 , H04N5/144 , H04N7/181
Abstract: A process reduces false positive security alerts. The process is performed at a computing device having one or more processors, and memory storing one or more programs configured for execution by the one or more processors. The process computes a depth map for a scene monitored by a video camera using a plurality of IR images captured by the video camera and uses the depth map to identify a first region within the scene having historically above average false positive detected motion events. In some instances, the first region is a ceiling, a window, or a television. The process monitors a video stream provided by the video camera to identify motion events, excluding the first region, and generates a motion alert when there is detected motion in the scene outside of the first region and the detected motion satisfies threshold criteria.
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4.发明授权Using a scene illuminating infrared emitter array in a video monitoring camera for depth determination 有权在视频监控摄像机中使用场景照射红外发射器阵列进行深度确定公开(公告)号：US09454820B1
公开(公告)日：2016-09-27
申请号：US14738818
申请日：2015-06-12
Applicant: GOOGLE INC.
Inventor： Ghulam Ahmed Kirmani , Andrea Colaco , Dongeek Shin
CPC classification number: H04N7/183 , G06K9/00201 , G06K9/00771 , G06K9/2018 , G06K9/2027 , G06K9/2036 , G06K9/4661 , G06K9/52 , G06T7/0051 , G06T7/586 , G06T2207/10048 , G06T2207/10152 , G06T2207/30232 , H04N5/2226 , H04N5/2256 , H04N5/33 , H04N7/18 , H04N7/181
Abstract: A process creates a depth map of a scene. The process is performed at a computing device having one or more processors, and memory storing one or more programs configured for execution by the one or more processors. For each of a plurality of distinct subsets of illuminators of a camera system, the process receives a captured image of a first scene taken by a 2-dimensional array of image sensors of the camera system while the respective subset of illuminators are emitting light and the illuminators not in the respective subset are not emitting light. The image sensors are partitioned into a plurality of pixels. For each pixel, the process uses the captured images to form a respective vector of light intensity at the pixel and estimates a depth in the first scene at the respective pixel by looking up the respective vector in a respective lookup table.
Abstract translation: 过程创建场景的深度图。 该过程在具有一个或多个处理器的计算设备和在存储一个或多个被配置为由一个或多个处理器执行的程序的存储器中执行。 对于相机系统的多个不同的照明子集中的每一个，该过程接收由相机系统的图像传感器的二维阵列拍摄的第一场景的拍摄图像，同时照明器的各个子集发光，并且 不在相应子集中的照明器不发光。 图像传感器被分割成多个像素。 对于每个像素，该过程使用所捕获的图像在像素处形成相应的光强度矢量，并且通过查找相应查找表中的相应矢量来估计相应像素处的第一场景中的深度。
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5.发明授权Simulating an infrared emitter array in a video monitoring camera to construct a lookup table for depth determination 有权在视频监控摄像机中模拟一个红外发射器阵列，以构建一个用于深度确定的查找表公开(公告)号：US09235899B1
公开(公告)日：2016-01-12
申请号：US14738803
申请日：2015-06-12
Applicant: GOOGLE INC.
Inventor： Ghulam Ahmed Kirmani , Andrea Colaco , Dongeek Shin
CPC classification number: G06T7/586 , G06K9/00624 , G06K9/2036 , G06T15/506 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/20104 , G06T2207/30232 , G06T2207/30244 , H04N5/33 , H04N7/181 , H04N7/183 , H04N13/207 , H04N13/243 , H04N13/254 , H04N13/271
Abstract: A process generates lookup tables for estimating spatial depth in a scene. The process identifies subsets of illuminators of a camera system that has a 2-dimensional array of image sensors and illuminators in fixed locations relative to the array, and partitions the image sensors into a plurality of pixels. For each pixel, and for each of m distinct depths from the respective pixel, the process simulates a virtual surface at the respective depth. For each of the subsets of illuminators, the process determines an expected light intensity at the pixel based on the respective depth. The process forms an intensity vector using the expected light intensities for each of the distinct subsets and normalizes the intensity vector. For each pixel, the process constructs a lookup table comprising the normalized vectors corresponding to the pixel. The lookup table associates each normalized vector with the depth of the corresponding simulated surface.
Abstract translation: 过程产生用于估计场景中的空间深度的查找表。 该过程识别具有相对于阵列的固定位置中的图像传感器和照明器的二维阵列的相机系统的照明器的子集，并将图像传感器分割成多个像素。 对于每个像素，并且对于来自相应像素的m个不同深度的每一个，该过程在相应的深度处模拟虚拟表面。 对于照明器的每个子集，该过程基于相应的深度确定像素处的预期光强度。 该过程使用每个不同子集的预期光强度形成强度矢量并且对强度矢量进行归一化。 对于每个像素，该过程构造包括与像素对应的归一化矢量的查找表。 查找表将每个归一化向量与对应的模拟表面的深度相关联。
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Patent Agency Ranking
公开(公告)号：US09554063B2
公开(公告)日：2017-01-24
申请号：US14738806
申请日：2015-06-12
Applicant: GOOGLE INC.
Inventor： Dongeek Shin , Michael Dixon
CPC classification number: H04N5/332 , G06K9/00771 , G06K9/2036 , G06K9/4661 , G06K2209/401 , G06T7/20 , G06T7/254 , G06T7/514 , G06T7/586 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/10152 , G06T2207/30232 , G08B13/19602 , G08B13/19617 , G08B13/19656 , G08B13/19658 , G08B17/10 , H04N5/2256 , H04N5/2258 , H04N5/23206 , H04N5/23245 , H04N5/2354 , H04N5/247 , H04N5/33 , H04N13/271
Abstract: A process classifies objects in a scene. The process receives a captured IR image of a scene taken by a 2-dimensional image sensor array of a camera system while one or more IR illuminators of the camera system are emitting IR light, thereby forming an IR intensity map of the scene with a respective intensity value determined for each pixel of the IR image. The process uses the IR intensity map to identify a plurality of pixels whose corresponding intensity values are within a predefined intensity range, and clusters the identified plurality of pixels into one or more regions that are substantially contiguous. The process determines that a first region of the one or more regions corresponds to a specific material based, at least in part, on the intensity values of the pixels in the first region. The process then stores information in the memory that identifies the first region.
Abstract translation: 一个进程对场景中的对象进行分类。 该过程接收由相机系统的二维图像传感器阵列拍摄的场景的捕获的IR图像，同时相机系统的一个或多个IR照明器发射IR光，从而形成具有相应的场景的IR强度图 为IR图像的每个像素确定强度值。 该过程使用IR强度图来识别其对应的强度值在预定强度范围内的多个像素，并且将所识别的多个像素聚集成基本上连续的一个或多个区域。 该过程确定一个或多个区域的第一区域对应于至少部分地基于第一区域中的像素的强度值的特定材料。 然后，该过程将信息存储在识别第一区域的存储器中。
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公开(公告)号：US09900560B1
公开(公告)日：2018-02-20
申请号：US14740205
申请日：2015-06-15
Applicant: GOOGLE INC.
Inventor： Ghulam Ahmed Kirmani , Andrea Colaco , Dongeek Shin
CPC classification number: H04N7/183 , G06K9/00201 , G06K9/00771 , G06K9/2018 , G06K9/2027 , G06K9/2036 , G06K9/4661 , G06K9/52 , G06T7/0051 , G06T7/586 , G06T2207/10048 , G06T2207/10152 , G06T2207/30232 , H04N5/2226 , H04N5/2256 , H04N5/33 , H04N7/18 , H04N7/181
Abstract: A process generates depth maps of a scene in the field of vision of a camera. The camera has a plurality of illuminators, a lens assembly, an image sensing element, a processor, and memory. The illuminators provide illumination using all of the illuminators. The lens assembly focuses incident light on the image sensing element. The memory stores image data from the image sensing element. The processor executes programs to control operation of the camera. The process operates in a second mode, where each of a plurality of subsets of the illuminators provides illumination separately from other subsets. The process sequentially activates each of the subsets to illuminate a scene and receives reflected illumination from the scene incident on the lens assembly and focused onto the image sensing element. The process measures light intensity values at the image sensing element and stores those measured light intensity values.
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公开(公告)号：US09571757B2
公开(公告)日：2017-02-14
申请号：US14745230
申请日：2015-06-19
Applicant: GOOGLE INC.
Inventor： Dongeek Shin , Michael Dixon
CPC classification number: H04N5/332 , G06K9/00771 , G06K9/2036 , G06K9/4661 , G06K2209/401 , G06T7/20 , G06T7/254 , G06T7/514 , G06T7/586 , G06T2207/10016 , G06T2207/10024 , G06T2207/10048 , G06T2207/10152 , G06T2207/30232 , G08B13/19602 , G08B13/19617 , G08B13/19656 , G08B13/19658 , G08B17/10 , H04N5/2256 , H04N5/2258 , H04N5/23206 , H04N5/23245 , H04N5/2354 , H04N5/247 , H04N5/33 , H04N13/271
Abstract: A camera system includes memory, a lens assembly arranged to direct light from a scene onto an image sensing element, an image sensing element configured to receive light from the scene via the lens assembly, at least one infrared illuminator configured to transmit infrared light, and a processor, coupled to the image sensing element and the illuminators. The processor is configured to operate the illuminators and the image sensing element in a first mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to generate a two-dimensional image of the scene. The processor is also configured to operate the illuminators and the image sensing element in a second mode whereby infrared light transmitted by the illuminators and reflected from the scene is used to detect a first region, located within the scene, having a specific material.
Abstract translation: 相机系统包括存储器，布置成将来自场景的光引导到图像感测元件上的透镜组件，被配置为经由透镜组件从场景接收光的图像感测元件，被配置为透射红外光的至少一个红外照明器，以及 耦合到图像感测元件和照明器的处理器。 处理器被配置为以第一模式操作照明器和图像感测元件，由此使用由照明器透射并从场景反射的红外光来生成场景的二维图像。 处理器还被配置为以第二模式操作照明器和图像感测元件，由此使用由照明器透射并从场景反射的红外光来检测位于场景内的具有特定材料的第一区域。
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公开(公告)号：US10942196B2
公开(公告)日：2021-03-09
申请号：US15676564
申请日：2017-08-14
Applicant: Google Inc.
Inventor： Mark Rajan Malhotra , Gwendolyn van der Linden , Yash Modi , Dongeek Shin
Abstract: Systems and methods of detecting human movement with a sensor are provided, including generating a motion event signal in response to movement detected by the sensor, and generating a parameterized curve to represent the detected motion. The parameterized curve is fit to a predetermined window of sensor data captured by the sensor to filter the motion event signal. A noise magnitude estimate and a curve fit error is determined based on the fitted parameterized curve to the predetermined window. A detection threshold value is determined based on the curve fit error, a noise source signal estimate of known noise, and zero or more noise magnitudes from other sources. Human motion is determined by correlating a true motion event signal with human motion based on a comparison between a value of a point on the parameterized curve and the detection threshold value.
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公开(公告)号：US20190049479A1
公开(公告)日：2019-02-14
申请号：US15676564
申请日：2017-08-14
Applicant: Google Inc.
Inventor： Mark Rajan Malhotra , Gwendolyn van der Linden , Yash Modi , Dongeek Shin
Abstract: Systems and methods of detecting human movement with a sensor are provided, including generating a motion event signal in response to movement detected by the sensor, and generating a parameterized curve to represent the detected motion. The parameterized curve is fit to a predetermined window of sensor data captured by the sensor to filter the motion event signal. A noise magnitude estimate and a curve fit error is determined based on the fitted parameterized curve to the predetermined window. A detection threshold value is determined based on the curve fit error, a noise source signal estimate of known noise, and zero or more noise magnitudes from other sources. Human motion is determined by correlating a true motion event signal with human motion based on a comparison between a value of a point on the parameterized curve and the detection threshold value.
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