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1. 发明申请

US20190206066A1 Human Analytics Using Fusion Of Image & Depth Modalities 审中-公开
公开(公告)号：US20190206066A1
公开(公告)日：2019-07-04
申请号：US16232954
申请日：2018-12-26
申请人： RetailNext, Inc.
发明人： Imran Saleemi , Mark Jamtgaard , Dong Liu
IPC分类号： G06T7/246 , G06K9/00 , G06T7/593 , G06K9/62
CPC分类号： G06T7/248 , G06K9/00785 , G06K9/6215 , G06T7/593 , G06T2207/10021 , G06T2207/20072 , G06T2207/20081 , G06T2207/30196
摘要： Various embodiments are disclosed for detecting, tracking and counting objects of interest in video frames using fusion of image and depth modalities. In an embodiment, a method comprises: obtaining multiple frames of stereo image pairs from an image capturing device; rectifying each frame of the stereo image pairs; computing a stereo disparity for each frame of the stereo image pairs; determining a first set of object detections in each frame using the computed stereo disparity; determining a second set of object detections in each left or right frame of the stereo image pair using one or more machine learning models; fusing the first and second sets of object detections; and creating tracks based on the fused object detections.

2. 发明申请

US20130225199A1 METHOD AND SYSTEM FOR WIFI-BASED IDENTIFICATION OF PERSON TRACKS 有权
标题翻译：用于基于无线网络识别人轨道的方法和系统
公开(公告)号：US20130225199A1
公开(公告)日：2013-08-29
申请号：US13780964
申请日：2013-02-28
申请人： RetailNext, Inc.
发明人： George Shaw
IPC分类号： H04W24/00
CPC分类号： H04W4/021 , G01S5/0294 , G01S5/06 , G01S5/14 , G01S11/06 , G06K9/00335 , G06K9/00771 , G06K2209/27 , G06Q10/0833 , G06Q30/0201 , G06T7/246 , G06T7/77 , H04W24/00 , H04W64/00
摘要： In an implementation, techniques are provided for tracking the location of a device that transmits wireless signal. The wireless signal can be received at a set of receivers. Distances to the device are determined based on signal strength. From the distances, boundaries encompassing possible locations of the device are defined. Boundary intersections are analyzed in order to determine the location of the device.
摘要翻译：在实现中，提供了用于跟踪发送无线信号的设备的位置的技术。可以在一组接收机处接收无线信号。根据信号强度确定与设备的距离。从距离开始，定义包含设备可能位置的边界。分析边界交点以确定设备的位置。

3. 发明授权

US09445234B2 Wireless-based identification of person tracks 有权
标题翻译：基于无线识别人物轨迹
公开(公告)号：US09445234B2
公开(公告)日：2016-09-13
申请号：US14642255
申请日：2015-03-09
申请人： RetailNext, Inc.
发明人： George Shaw
IPC分类号： H04W24/00 , H04W4/02 , G01S5/02 , G01S5/06 , G01S5/14 , G06Q10/08 , G06Q30/02 , H04W64/00 , G01S11/06
CPC分类号： H04W4/021 , G01S5/0294 , G01S5/06 , G01S5/14 , G01S11/06 , G06K9/00335 , G06K9/00771 , G06K2209/27 , G06Q10/0833 , G06Q30/0201 , G06T7/246 , G06T7/77 , H04W24/00 , H04W64/00
摘要： In an implementation, techniques are provided for tracking the location of a device that transmits wireless signal. The wireless signal can be received at a set of receivers. Distances to the device are determined based on signal strength. From the distances, boundaries encompassing possible locations of the device are defined. Boundary intersections are analyzed in order to determine the location of the device.
摘要翻译：在实现中，提供了用于跟踪发送无线信号的设备的位置的技术。可以在一组接收机处接收无线信号。根据信号强度确定与设备的距离。从距离开始，定义包含设备可能位置的边界。分析边界交点以确定设备的位置。

4. 发明授权

US08989775B2 Method and system for WiFi-based identification of person tracks 有权
标题翻译：用于基于WiFi识别人轨道的方法和系统
公开(公告)号：US08989775B2
公开(公告)日：2015-03-24
申请号：US13780964
申请日：2013-02-28
申请人： RetailNext, Inc.
发明人： George Shaw
IPC分类号： H04W24/00 , G01S5/06 , G01S5/14 , G06Q10/08 , G06Q30/02 , H04W64/00 , G01S5/02 , G01S11/06
CPC分类号： H04W4/021 , G01S5/0294 , G01S5/06 , G01S5/14 , G01S11/06 , G06K9/00335 , G06K9/00771 , G06K2209/27 , G06Q10/0833 , G06Q30/0201 , G06T7/246 , G06T7/77 , H04W24/00 , H04W64/00
摘要： In an implementation, techniques are provided for tracking the location of a device that transmits wireless signal. The wireless signal can be received at a set of receivers. Distances to the device are determined based on signal strength. From the distances, boundaries encompassing possible locations of the device are defined. Boundary intersections are analyzed in order to determine the location of the device.
摘要翻译：在实现中，提供了用于跟踪发送无线信号的设备的位置的技术。可以在一组接收机处接收无线信号。根据信号强度确定与设备的距离。从距离开始，定义包含设备可能位置的边界。分析边界交点以确定设备的位置。

5. 发明授权

US11087130B2 Simultaneous object localization and attribute classification using multitask deep neural networks 有权
公开(公告)号：US11087130B2
公开(公告)日：2021-08-10
申请号：US16233030
申请日：2018-12-26
申请人： RetailNext, Inc.
发明人： Dong Liu , Imran Saleemi , Mark Jamtgaard
IPC分类号： G06K9/00 , G06N3/08 , G06T7/73 , G06K9/62 , G06K9/46 , G06T7/246 , G06Q30/06 , G06N3/04
摘要： Various embodiments are disclosed for simultaneous object localization and attribute classification using multitask deep neural networks. In an embodiment, a method comprises: obtaining, by a processing circuit, an image from an image capture device in an environment, the image including a target object in the environment; generating, by the processing circuit, predictions from the image for the target object using a multitask deep neural network, the multitask deep neural network including a network trunk and side branches, the network trunk configured for multi-scale feature extraction guided by supervision information provided by the side branches during training of the multitask deep neural network, the side branches configured as learning task-specific classifiers; and using, by the processing circuit, the predictions to localize the target object in the environment and to classify the target object and at least one attribute of the target object.

6. 发明申请

US20190205643A1 Simultaneous Object Localization And Attribute Classification Using Multitask Deep Neural Networks 审中-公开
公开(公告)号：US20190205643A1
公开(公告)日：2019-07-04
申请号：US16233030
申请日：2018-12-26
申请人： RetailNext, Inc.
发明人： Dong Liu , Imran Saleemi , Mark Jamtgaard
IPC分类号： G06K9/00 , G06N3/04 , G06N3/08 , G06T7/73 , G06K9/62 , G06K9/46 , G06T7/246 , G06Q30/06
CPC分类号： G06K9/00624 , G06K9/00335 , G06K9/46 , G06K9/6217 , G06K9/628 , G06N3/04 , G06N3/08 , G06Q30/0639 , G06T7/246 , G06T7/73 , G06T2207/10012 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196 , G06T2207/30242
摘要： Various embodiments are disclosed for simultaneous object localization and attribute classification using multitask deep neural networks. In an embodiment, a method comprises: obtaining, by a processing circuit, an image from an image capture device in an environment, the image including a target object in the environment; generating, by the processing circuit, predictions from the image for the target object using a multitask deep neural network, the multitask deep neural network including a network trunk and side branches, the network trunk configured for multi-scale feature extraction guided by supervision information provided by the side branches during training of the multitask deep neural network, the side branches configured as learning task-specific classifiers; and using, by the processing circuit, the predictions to localize the target object in the environment and to classify the target object and at least one attribute of the target object.

7. 发明申请

US20150181387A1 WIRELESS-BASED IDENTIFICATION OF PERSON TRACKS 有权
标题翻译：人员轨迹无线识别
公开(公告)号：US20150181387A1
公开(公告)日：2015-06-25
申请号：US14642255
申请日：2015-03-09
申请人： RetailNext, Inc.
发明人： George Shaw
IPC分类号： H04W4/02 , G01S5/02
CPC分类号： H04W4/021 , G01S5/0294 , G01S5/06 , G01S5/14 , G01S11/06 , G06K9/00335 , G06K9/00771 , G06K2209/27 , G06Q10/0833 , G06Q30/0201 , G06T7/246 , G06T7/77 , H04W24/00 , H04W64/00
摘要： In an implementation, techniques are provided for tracking the location of a device that transmits wireless signal. The wireless signal can be received at a set of receivers. Distances to the device are determined based on signal strength. From the distances, boundaries encompassing possible locations of the device are defined. Boundary intersections are analyzed in order to determine the location of the device.
摘要翻译：在实现中，提供了用于跟踪发送无线信号的设备的位置的技术。可以在一组接收机处接收无线信号。根据信号强度确定与设备的距离。从距离开始，定义包含设备可能位置的边界。分析边界交点以确定设备的位置。

8. 发明申请

US20200242784A1 DETECTING, TRACKING AND COUNTING OBJECTS IN VIDEOS 审中-公开
公开(公告)号：US20200242784A1
公开(公告)日：2020-07-30
申请号：US16846912
申请日：2020-04-13
申请人： RetailNext, Inc.
发明人： Imran Saleemi , Mark Jamtgaard , Arun Nair
IPC分类号： G06T7/285 , G06T17/10 , G06T11/20 , G06T7/60 , G06Q30/02 , G06T7/70 , G06T7/80 , G06T7/593 , G06T7/292 , G06T7/246 , G06T7/77
摘要： Various embodiments are disclosed for detecting, tracking and counting objects of interest in video. In an embodiment, a method of detecting and tracking objects of interest comprises: obtaining, by a computing device, multiple frames of images from an image capturing device; detecting, by the computing device, objects of interest in each frame; accumulating, by the computing device, multiple frames of object detections; creating, by the computing device, object tracks based on a batch of object detections over multiple frames; and associating, by the computing device, the object tracks over consecutive batches.

9. 发明授权

US10621735B2 Detecting, tracking and counting objects in videos 有权
公开(公告)号：US10621735B2
公开(公告)日：2020-04-14
申请号：US16192440
申请日：2018-11-15
申请人： RetailNext, Inc.
发明人： Imran Saleemi , Mark Jamtgaard , Arun Nair
IPC分类号： G06K9/00 , G06T7/285 , G06T7/77 , G06T7/246 , G06T7/292 , G06T7/593 , G06T7/80 , G06T7/70 , G06Q30/02 , G06T7/60 , G06T11/20 , G06T17/10
CPC分类号： G06T7/285 , G06Q30/0201 , G06T7/251 , G06T7/292 , G06T7/596 , G06T7/60 , G06T7/70 , G06T7/77 , G06T7/85 , G06T11/206 , G06T17/10 , G06T2200/08 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/20228 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241 , G06T2207/30242
摘要： Various embodiments are disclosed for detecting, tracking and counting objects of interest in video. In an embodiment, a method of detecting and tracking objects of interest comprises: obtaining, by a computing device, multiple frames of images from an image capturing device; detecting, by the computing device, objects of interest in each frame; accumulating, by the computing device, multiple frames of object detections; creating, by the computing device, object tracks based on a batch of object detections over multiple frames; and associating, by the computing device, the object tracks over consecutive batches.

10. 发明申请

US20150310447A1 METHODS AND SYSTEMS FOR SIMULATING AGENT BEHAVIOR IN A VIRTUAL ENVIRONMENT 审中-公开
标题翻译：用于在虚拟环境中模拟代理行为的方法和系统
公开(公告)号：US20150310447A1
公开(公告)日：2015-10-29
申请号：US14332624
申请日：2014-07-16
申请人： RetailNext, Inc.
发明人： George Shaw
IPC分类号： G06Q30/00
摘要： Systems and methods for simulating behavior of agents in a virtual environment are described. Observed customer behavior data for a retail space may be received. A model for customer behavior in the retail space is generated, the model including probabilities for customer responses to a plurality of stimuli. A virtual customer agent is built based on the model for customer behavior. A virtual retail space is built and modified, the modified virtual retail space including at least one different design feature from the virtual retail space. In the modified virtual retail space, the virtual customer agent is simulated performing a predetermined list of tasks based on the probabilities for the customer responses. Simulated customer behavior data, including responses of the virtual customer agent to the modified virtual retail space, may be generated based on the simulation.
摘要翻译：描述了用于模拟虚拟环境中的代理行为的系统和方法。可以接收零售空间的观察客户行为数据。生成零售空间中客户行为的模型，该模型包括客户对多个刺激的响应的概率。基于客户行为模型构建虚拟客户代理。构建和修改虚拟零售空间，修改后的虚拟零售空间至少包括来自虚拟零售空间的不同设计特征。在修改的虚拟零售空间中，虚拟客户代理被模拟基于客户响应的概率执行预定的任务列表。可以基于模拟生成模拟的客户行为数据，包括虚拟客户代理对修改的虚拟零售空间的响应。

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