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公开(公告)号：US10375359B1
公开(公告)日：2019-08-06
申请号：US14939369
申请日：2015-11-12
Applicant: Trace Live Network Inc.
Inventor： Paul Beard , Craig McDermott
Abstract: A system and related method for tracking a moving subject via a ground-based or airborne peripheral device includes plugging an intelligent camera device to the unmanned vehicle, establishing a peripheral link by which the intelligent camera device can assume control of the unmanned vehicle's control systems. Based on analysis of images captured by the intelligent camera device, in addition to position data associated with the unmanned vehicle or with the subject, the intelligent camera device may autonomously maneuver the unmanned vehicle to track or follow the subject while maintaining the moving subject in a consistent framing orientation.
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公开(公告)号：US09785147B1
公开(公告)日：2017-10-10
申请号：US15256193
申请日：2016-09-02
Applicant: Trace Live Network Inc.
Inventor： Craig McDermott , Bruce McDonald
IPC: G05D1/00 , G05D1/10 , B64C39/02 , B64D47/08 , G05D1/12 , H04N7/18 , G06K9/00 , G06K9/62 , G06T7/246
CPC classification number: G05D1/0094 , B64C39/024 , B64C2201/024 , B64C2201/027 , B64C2201/108 , B64C2201/127 , B64C2201/141 , B64D47/08 , G05D1/101 , G05D1/12 , G06K9/00369 , G06K9/0063 , G06K9/6202 , G06T7/248 , G06T2207/10016 , G06T2207/10032 , G06T2207/30196 , G06T2207/30221 , H04N7/183
Abstract: An unmanned aerial vehicle (UAV) may select a subject to track or follow and capture images including the subject. A visual recognition system of the UAV may generate a profile of reference images portraying the subject breaking the reference images down into pixel sets corresponding to the subject and his/her components and distinguishing characteristics (body parts, clothing, facial features, accessories). The visual recognition system may break the incoming stream of incoming images into pixel sets, analyzing the pixel sets to distinguish the subject from his/her surroundings (i.e., in a crowd) and determine movement of the subject and the current orientation of the UAV to the subject. The UAV may then change its heading, velocity, or position based on any difference between the current orientation and the desired or predetermined orientation between the UAV and the subject.
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3.发明授权Real-time noise reduction system for dynamic motor frequencies aboard an unmanned aerial vehicle (UAV) 有权无人机（UAV）上动态电机频率的实时降噪系统公开(公告)号：US09489937B1
公开(公告)日：2016-11-08
申请号：US14642496
申请日：2015-03-09
Applicant: Trace Live Network Inc.
Inventor： Paul Beard , Cameron Chell , Jamie Clarke , Craig McDermott , Erika Racicot , Paul Readwin
IPC: G10K11/16 , G10K11/178
CPC classification number: G10K11/178 , B64C2201/027 , B64C2201/123 , B64C2201/127 , B64C2220/00 , G01H3/00 , G10K11/34 , G10K2210/1281 , G10L21/0216 , G10L25/48 , G10L2021/02166
Abstract: Systems and methods for simultaneously capturing live audio and video feeds and reducing motor/rotor noise associated with the video feed for a multirotor unmanned aerial vehicle (UAV). Noise reduction occurs in real time or near real time as one or more frequencies associated with a motor, rotor, or attitude of the UAV are recognized, subtracted and/or dithered from the audio feed, resulting in one or more correction signals. The one or more correction signals may be dynamically summed in order to generate a corrected audio feed for transmission.
Abstract translation: 用于同时捕获实时音频和视频馈送并减少与多转轮无人机（UAV）的视频馈送相关联的电动机/转子噪声的系统和方法。 随着与UAV的电动机，转子或姿态相关联的一个或多个频率从音频馈送被识别，减去和/或抖动，导致一个或多个校正信号，实时或接近实时地降噪。 一个或多个校正信号可以被动态求和，以便产生用于传输的校正音频馈送。
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Patent Agency Ranking
4.发明授权Pixel based image tracking system for unmanned aerial vehicle (UAV) action camera system 有权基于像素的无人机（UAV）动作相机系统图像跟踪系统公开(公告)号：US09442485B1
公开(公告)日：2016-09-13
申请号：US14825956
申请日：2015-08-13
Applicant: Trace Live Network Inc.
Inventor： Craig McDermott , Bruce McDonald
CPC classification number: G05D1/0094 , B64C39/024 , B64C2201/024 , B64C2201/027 , B64C2201/108 , B64C2201/127 , B64C2201/141 , B64D47/08 , G05D1/101 , G05D1/12 , G06K9/00369 , G06K9/0063 , G06K9/6202 , G06T7/248 , G06T2207/10016 , G06T2207/10032 , G06T2207/30196 , G06T2207/30221 , H04N7/183
Abstract: An unmanned aerial vehicle (UAV) may select a subject to track or follow and capture images including the subject. A visual recognition system of the UAV may generate a profile of reference images portraying the subject breaking the reference images down into pixel sets corresponding to the subject and his/her components and distinguishing characteristics (body parts, clothing, facial features, accessories). The visual recognition system may break the incoming stream of incoming images into pixel sets, analyzing the pixel sets to distinguish the subject from his/her surroundings (i.e., in a crowd) and determine movement of the subject and the current orientation of the UAV to the subject. The UAV may then change its heading, velocity, or position based on any difference between the current orientation and the desired or predetermined orientation between the UAV and the subject.
Abstract translation: 无人驾驶飞行器（UAV）可以选择对象来跟踪或跟踪并捕获包括主体的图像。 无人机的视觉识别系统可以生成将参考图像描绘成将被摄体和他/她的组件对应的像素集合以及区分特征（身体部位，服装，面部特征，附件）的参考图像的轮廓。 视觉识别系统可以将输入图像的输入流分解为像素集，分析像素集以区分主体与他/她的周围环境（即，在人群中），并且确定被摄体的移动和UAV的当前方向到 主题。 然后，UAV可以基于当前方向与UAV和被摄体之间的期望或预定取向之间的任何差异来改变其航向，速度或位置。
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公开(公告)号：US09892322B1
公开(公告)日：2018-02-13
申请号：US15651672
申请日：2017-07-17
Applicant: Trace Live Network Inc.
Inventor： Paul Beard , Cameron Chell , Jamie Clarke , Craig McDermott , Erika Racicot , Paul Readwin
IPC: H04N7/18 , H04N5/225 , G06K9/00 , B64C39/02 , B64D47/08 , G06F3/044 , G06K9/46 , G06T7/20 , H04N5/44 , G06F17/30 , G06K9/62
CPC classification number: G06K9/0063 , B64C39/024 , B64C2201/027 , B64C2201/127 , B64C2201/14 , G06F17/3028 , G06K9/46 , G06T7/248 , G06T2207/30196 , H04N7/181 , H04N7/185
Abstract: Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. An unmanned aerial vehicle (UAV) includes an onboard camera to capture/stream multiple images. An onboard visual recognition module isolates image elements by analyzing the captured images, and determines whether the image elements correspond or do not correspond to the subject. Current image elements corresponding to a subject are stored in a positive database, and non-corresponding current image elements are stored in a negative database. An onboard subject tracking module defines the chosen subject, determines attributes of the subject based on comparisons of image elements, and follows the subject by directing the attitude control system to adjust the velocity and orientation of the UAV based on the determined attributes.
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公开(公告)号：US09769387B1
公开(公告)日：2017-09-19
申请号：US14533995
申请日：2014-11-05
Applicant: Trace Live Network Inc.
Inventor： Paul Beard , Craig McDermott , Cameron Chell , Erika Racicot , Jamie Clarke , Bruce McDonald , Paul Readwin
CPC classification number: H04N5/23296 , G05D1/0094 , G06K9/0063 , G06K9/183 , G06K9/3216 , G06K2209/21 , G06T7/0042 , G06T7/246 , G06T2207/10004 , G06T2207/30232 , H04N5/23219 , H04N5/23229 , H04N7/181 , H04N7/185
Abstract: An action camera system for an unmanned aerial vehicle (UAV) selects a target based on a reference image captured by an onboard camera. Image processing determines a desired orientation of the target to the UAV, by which the UAV can track the target and provide streaming video images from the desired orientation. Image processing establishes a visual lock on the target and controls the UAV to maintain the desired orientation while capturing streaming images. Additional position data provided by sensors aboard a smartphone carried by the target enhances the tracking ability of the action camera system and enables predictive analysis of the target's future position. The action camera system may additionally provide preselected modes of operation that control UAV movement and image capture depending on the user's desired objectives.
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公开(公告)号：US09710709B1
公开(公告)日：2017-07-18
申请号：US14642370
申请日：2015-03-09
Applicant: Trace Live Network Inc.
Inventor： Paul Beard , Cameron Chell , Jamie Clarke , Craig McDermott , Erika Racicot , Paul Readwin
IPC: H04N7/18 , H04N5/225 , G06K9/00 , G06K9/62 , G06F17/30 , H04N5/44 , G06T7/20 , G06K9/46 , G06F3/044 , B64D47/08 , B64C39/02
CPC classification number: G06K9/0063 , B64C39/024 , B64C2201/027 , B64C2201/127 , B64C2201/14 , G06F17/3028 , G06K9/46 , G06T7/248 , G06T2207/30196 , H04N7/181 , H04N7/185
Abstract: Systems and methods for tracking a subject using an unmanned aerial vehicle (UAV) are disclosed. An unmanned aerial vehicle (UAV) includes an onboard camera to capture/stream multiple images. An onboard visual recognition module isolates image elements by analyzing the captured images, and determines whether the image elements correspond or do not correspond to the subject. Current image elements corresponding to a subject are stored in a positive database, and non-corresponding current image elements are stored in a negative database. An onboard subject tracking module defines the chosen subject, determines attributes of the subject based on comparisons of image elements, and follows the subject by directing the attitude control system to adjust the velocity and orientation of the UAV based on the determined attributes.
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8.发明授权System and method for adaptive y-axis power usage and non-linear battery usage for unmanned aerial vehicle equipped with action camera system 有权用于自适应y轴电力使用的系统和方法，以及配备动作摄像系统的无人机的非线性电池使用公开(公告)号：US09511878B1
公开(公告)日：2016-12-06
申请号：US14825914
申请日：2015-08-13
Applicant: Trace Live Network Inc.
Inventor： Craig McDermott , Bruce McDonald
CPC classification number: B64D45/00 , B64C27/08 , B64C39/024 , B64C2201/024 , B64C2201/027 , B64C2201/108 , B64C2201/127 , B64C2201/146 , B64D47/08 , G08B21/185 , G08B25/10 , H04N7/185
Abstract: A system and method for power management aboard an unmanned aerial vehicle (UAV) configured to follow a subject based on images captured by an onboard camera includes a power monitor that determines if available power from the UAV's onboard batteries has dropped below predetermined thresholds. If a low power level is detected, the power management system may divert power from non-essential systems to the attitude control system to keeping the UAV aloft. If a critical power level is detected, the power management system may shut down other UAV subsystems so that the attitude control system can safely land the UAV. The power management system may send an alert to a smartphone or other device carried by the subject. Position sensors of the subject's device may be used to interpolate the position of the UAV based on the subject's own position for recovery of the UAV.
Abstract translation: 一种无人驾驶飞行器（UAV）上的电力管理系统和方法，其被配置为基于由车载摄像机拍摄的图像跟随被摄体，包括功率监视器，其确定来自UAV的车载电池的可用功率是否已经降至预定阈值以下。 如果检测到低功率电平，则电力管理系统可以将电力从非必要系统转移到姿态控制系统以保持无人机高空。 如果检测到临界功率级别，则电源管理系统可以关闭其他无人机子系统，使得姿态控制系统可以安全地着陆无人机。 电源管理系统可以将警报发送到由主体携带的智能电话或其他设备。 可以使用被摄体设备的位置传感器来根据被摄体自身的位置来内插无人机的位置，以恢复无人机。
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