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1. 发明申请

US20050226489A1 Machine vision system for identifying and sorting projectiles and other objects 审中-公开
标题翻译：机器视觉系统，用于识别和分类抛射物和其他物体
公开(公告)号：US20050226489A1
公开(公告)日：2005-10-13
申请号：US11072599
申请日：2005-03-04
申请人： Glenn Beach , Gary Moody , James Burkowski , Charles Jacobus
发明人： Glenn Beach , Gary Moody , James Burkowski , Charles Jacobus
IPC分类号： G06K9/00
CPC分类号： G06T7/001 , B07C5/34 , B07C5/3412 , B07C5/3422 , F42B35/00 , F42B35/02 , G01N21/8851 , G06T7/0004 , G06T2207/30108 , G06T2207/30164
摘要： A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.
摘要翻译：公开了一种用于自动识别和检查物体的机器视觉系统，包括可组合的基于视觉的识别模块和用于对对象类型和质量进行最终确定的决策算法。该视觉系统已被用于开发射弹识别系统和自动化战术弹药分类系统。该技术可用于创建许多其他检测和自动识别系统。

2. 发明申请

US20070066393A1 REAL-TIME HEAD TRACKING SYSTEM FOR COMPUTER GAMES AND OTHER APPLICATIONS 审中-公开
标题翻译：用于计算机游戏和其他应用的实时头跟踪系统
公开(公告)号：US20070066393A1
公开(公告)日：2007-03-22
申请号：US11550138
申请日：2006-10-17
申请人： George Paul , Glenn Beach , Charles Cohen , Charles Jacobus
发明人： George Paul , Glenn Beach , Charles Cohen , Charles Jacobus
IPC分类号： A63F9/24
CPC分类号： A63F13/213 , A63F13/10 , A63F13/42 , A63F2300/1012 , A63F2300/1087 , A63F2300/1093 , A63F2300/69 , G06F3/012 , G06K9/00335 , G06K9/4652 , G06K9/4661 , G06K9/6201 , G06T7/20 , G06T7/251 , G06T7/73 , G06T7/90 , G06T11/20 , G06T2207/10016 , G06T2207/30196 , G06T2207/30201
摘要： A real-time computer vision system tracks the head of a computer user to implement real-time control of games or other applications. The imaging hardware includes a color camera, frame grabber, and processor. The software consists of the low-level image grabbing software and a tracking algorithm. The system tracks objects based on the color, motion and/or shape of the object in the image. A color matching function is used to compute three measures of the target's probable location based on the target color, shape and motion. The method then computes the most probable location of the target using a weighting technique. Once the system is running, a graphical user interface displays the live image from the color camera on the computer screen. The operator can then use the mouse to select a target for tracking. The system will then keep track of the moving target in the scene in real-time.
摘要翻译：实时计算机视觉系统跟踪计算机用户的头部以实现游戏或其他应用的实时控制。成像硬件包括彩色摄像机，帧采集器和处理器。该软件由低级图像抓取软件和跟踪算法组成。该系统基于图像中对象的颜色，运动和/或形状来跟踪对象。颜色匹配功能用于基于目标颜色，形状和运动计算目标可能位置的三个度量。该方法然后使用加权技术计算目标的最可能的位置。一旦系统运行，图形用户界面将在计算机屏幕上显示来自彩色摄像机的实时图像。然后，操作员可以使用鼠标选择要跟踪的目标。然后系统将实时跟踪场景中的移动目标。

3. 发明申请

US20060013440A1 Gesture-controlled interfaces for self-service machines and other applications 有权
标题翻译：用于自助服务机器和其他应用的手势控制接口
公开(公告)号：US20060013440A1
公开(公告)日：2006-01-19
申请号：US11226831
申请日：2005-09-14
申请人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
发明人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06T7/246
摘要： A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body/object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.
摘要翻译：公开了一种用于控制自助服务机器和其他设备的手势识别界面。手势被定义为人类，动物或机器产生的运动和运动姿态。跟踪特定身体特征，并解释静态和运动手势。运动手势被定义为参数定界的振荡运动系列，被建模为参数线性参数动态系统，附加的几何约束允许使用少量的存储器和处理时间进行实时识别。优选使用线性最小二乘法来确定表示每个姿态的参数。特征位置测量结合使用手势参数种子的预测器仓组，并且系统确定哪个箱最适合观察到的运动。识别静态姿势手势优选地通过将来自图像的其余部分的身体/物体定位，描述该对象并识别该描述来执行。本公开详细描述了用于手势识别的方法，以及用于使用手势识别来控制设备（包括自助服务机器）的整体架构。

4. 发明申请

US20090274339A9 Behavior recognition system 有权
标题翻译：行为识别系统
公开(公告)号：US20090274339A9
公开(公告)日：2009-11-05
申请号：US11412252
申请日：2006-04-25
申请人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
发明人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
IPC分类号： G06K9/00 , H04N7/18 , H04N5/225 , G06K9/46
CPC分类号： G06F3/017 , G06K9/00348 , G06K9/00355
摘要： A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. The system described here can identify such differences and categorize these behaviors. Gestures, as previously defined, are motions generated by humans, animals, or machines. Multiple gestures on a body (or bodies) are recognized simultaneously and used in determining behaviors. If multiple bodies are tracked by the system, then overall formations and behaviors (such as military goals) can be determined.
摘要翻译：提出了一种用于识别各种人类和生物运动步态和行为的系统。这些行为被定义为在运动的身体的各个部分上识别的“手势”的组合。例如，当人运行时产生的腿姿势与人走路时不同。这里描述的系统可以识别这些差异并对这些行为进行分类。如前所述，手势是由人，动物或机器产生的动作。身体（或身体）上的多个手势被同时识别并用于确定行为。如果系统跟踪多个物体，则可以确定整体形成和行为（如军事目标）。

5. 发明申请

US20070195997A1 Tracking and gesture recognition system particularly suited to vehicular control applications 审中-公开
标题翻译：跟踪和姿态识别系统特别适用于车辆控制应用
公开(公告)号：US20070195997A1
公开(公告)日：2007-08-23
申请号：US11440228
申请日：2006-05-23
申请人： George Paul , Glenn Beach , Charles Cohen , Charles Jacobus
发明人： George Paul , Glenn Beach , Charles Cohen , Charles Jacobus
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , A63F2300/1093 , A63F2300/6045 , A63F2300/69 , G06F3/017 , G06K9/00335 , G06K9/4652 , G06K9/6212 , G06T7/246 , G06T7/251 , G06T2207/10016 , G06T2207/30196 , G06T2207/30268
摘要： A system and method tracks the movements of a driver or passenger in a vehicle (ground, water, air, or other) and controls devices in accordance with position, motion, and/or body or hand gestures or movements. According to one embodiment, an operator or passenger uses the invention to control comfort or entertainment features such the heater, air conditioner, lights, mirror positions or the radio/CD player using hand gestures. An alternative embodiment facilitates the automatic adjustment of car seating restraints based on head position. Yet another embodiment is used to determine when to fire an airbag (and at what velocity or orientation) based on the position of a person in a vehicle seat. The invention may also be used to control systems outside of the vehicle. The on-board sensor system would be used to track the driver or passenger, but when the algorithms produce a command for a desired response, that response (or just position and gesture information) could be transmitted via various methods (wireless, light, whatever) to other systems outside the vehicle to control devices located outside the vehicle. For example, this would allow a person to use gestures inside the car to interact with a kiosk located outside of the car.
摘要翻译：系统和方法跟踪车辆（地面，水，空气或其他）中的驾驶员或乘客的运动，并根据位置，运动和/或身体或手势或运动来控制装置。根据一个实施例，操作者或乘客使用本发明来使用手势来控制诸如加热器，空调，灯，镜子位置或无线电/ CD播放器之类的舒适性或娱乐特征。一个替代实施例有助于基于头部位置自动调节汽车座椅限制器。另一个实施例用于基于车辆座椅中的人的位置来确定何时触发安全气囊（并以什么速度或取向）。本发明还可以用于控制车辆外部的系统。车载传感器系统将用于跟踪驾驶员或乘客，但是当算法产生所需响应的命令时，可以通过各种方法（无线，轻，无论什么）传送该响应（或仅位置和手势信息））到车辆外部的其他系统以控制位于车辆外部的装置。例如，这将允许人们使用车内的手势来与位于汽车外部的信息亭进行交互。

6. 发明申请

US20060210112A1 Behavior recognition system 有权
公开(公告)号：US20060210112A1
公开(公告)日：2006-09-21
申请号：US11412252
申请日：2006-04-27
申请人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
发明人： Charles Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles Jacobus , Jay Obermark , George Paul
IPC分类号： G06K9/00 , H04N7/18 , H04N5/225 , G06K9/46
CPC分类号： G06F3/017 , G06K9/00348 , G06K9/00355
摘要： A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. The system described here can identify such differences and categorize these behaviors. Gestures, as previously defined, are motions generated by humans, animals, or machines. Multiple gestures on a body (or bodies) are recognized simultaneously and used in determining behaviors. If multiple bodies are tracked by the system, then overall formations and behaviors (such as military goals) can be determined.

7. 发明授权

US07036094B1 Behavior recognition system 有权
标题翻译：行为识别系统
公开(公告)号：US07036094B1
公开(公告)日：2006-04-25
申请号：US09540461
申请日：2000-03-31
申请人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
发明人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
IPC分类号： G09G5/00
CPC分类号： G06F3/017 , G06K9/00348 , G06K9/00355
摘要： A system for recognizing various human and creature motion gaits and behaviors is presented. These behaviors are defined as combinations of “gestures” identified on various parts of a body in motion. For example, the leg gestures generated when a person runs are different than when a person walks. The system described here can identify such differences and categorize these behaviors. Gestures, as previously defined, are motions generated by humans, animals, or machines. Where in the previous patent only one gesture was recognized at a time, in this system, multiple gestures on a body (or bodies) are recognized simultaneously and used in determining behaviors. If multiple bodies are tracked by the system, then overall formations and behaviors (such as military goals) can be determined.
摘要翻译：提出了一种用于识别各种人类和生物运动步态和行为的系统。这些行为被定义为在运动的身体的各个部分上识别的“手势”的组合。例如，当人运行时产生的腿姿势与人走路时不同。这里描述的系统可以识别这些差异并对这些行为进行分类。如前所述，手势是由人，动物或机器产生的动作。在以前的专利中，一次只能识别出一个手势，在该系统中，身体（或身体）上的多个手势被同时识别并用于确定行为。如果系统跟踪多个物体，则可以确定整体形成和行为（如军事目标）。

8. 发明授权

US5509756A Oil boom end connector 失效
标题翻译：油斗端连接器
公开(公告)号：US5509756A
公开(公告)日：1996-04-23
申请号：US205732
申请日：1994-03-04
申请人： Chun C. Chou , Joe Falk , Robert Ferguson , Glenn Beach
发明人： Chun C. Chou , Joe Falk , Robert Ferguson , Glenn Beach
IPC分类号： E02B15/04 , E02B15/06
CPC分类号： E02B15/08 , E02B15/085 , Y10T403/64
摘要： An end connector for use with oil containment booms, wherein the connector design utilizes a stress distribution technique which avoids the need for proximal end flanges, internal cavity traction surfaces, and further avoids bolts, rivets, or other fasteners through the boom fin end. The end connector design has a smaller size than conventional end connector designs with comparable tensile strength capabilities. Further, the end connector may be fabricated faster than conventional end connectors, reduces connector cost, and reduces final boom assembly time.
摘要翻译：用于油容器悬臂的端部连接器，其中连接器设计利用应力分布技术，其避免了对近端凸缘，内腔牵引表面的需要，并且进一步避免通过悬臂翅片端部的螺栓，铆钉或其它紧固件。端接连接器设计的尺寸小于具有可比拉伸强度能力的传统端接头设计。此外，端接头可以比常规端接头更快地制造，降低连接器成本，并且减少最终的起重臂组装时间。

9. 发明授权

US06950534B2 Gesture-controlled interfaces for self-service machines and other applications 有权
标题翻译：用于自助服务机器和其他应用的手势控制接口
公开(公告)号：US06950534B2
公开(公告)日：2005-09-27
申请号：US10759459
申请日：2004-01-16
申请人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
发明人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
IPC分类号： G06F3/00 , G06F3/01 , G06K9/00 , G06T7/20
CPC分类号： G06K9/00355 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06T7/246
摘要： A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body/object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.
摘要翻译：公开了一种用于控制自助服务机器和其他设备的手势识别界面。手势被定义为人类，动物或机器产生的运动和运动姿态。跟踪特定身体特征，并解释静态和运动手势。运动手势被定义为参数定界的振荡运动系列，被建模为参数线性参数动态系统，附加的几何约束允许使用少量的存储器和处理时间进行实时识别。优选使用线性最小二乘法来确定表示每个姿态的参数。特征位置测量结合使用手势参数种子的预测器仓组，并且系统确定哪个箱最适合观察到的运动。识别静态姿势手势优选地通过将来自图像的其余部分的身体/物体定位，描述该对象并识别该描述来执行。本公开详细描述了用于手势识别的方法，以及用于使用手势识别来控制设备（包括自助服务机器）的整体架构。

10. 发明授权

US07460690B2 Gesture-controlled interfaces for self-service machines and other applications 有权
标题翻译：用于自助服务机器和其他应用的手势控制接口
公开(公告)号：US07460690B2
公开(公告)日：2008-12-02
申请号：US11226831
申请日：2005-09-14
申请人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
发明人： Charles J. Cohen , Glenn Beach , Brook Cavell , Gene Foulk , Charles J. Jacobus , Jay Obermark , George Paul
IPC分类号： G06K9/00 , G06K9/36 , G06F3/033
CPC分类号： G06K9/00355 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06T7/246
摘要： A gesture recognition interface for use in controlling self-service machines and other devices is disclosed. A gesture is defined as motions and kinematic poses generated by humans, animals, or machines. Specific body features are tracked, and static and motion gestures are interpreted. Motion gestures are defined as a family of parametrically delimited oscillatory motions, modeled as a linear-in-parameters dynamic system with added geometric constraints to allow for real-time recognition using a small amount of memory and processing time. A linear least squares method is preferably used to determine the parameters which represent each gesture. Feature position measure is used in conjunction with a bank of predictor bins seeded with the gesture parameters, and the system determines which bin best fits the observed motion. Recognizing static pose gestures is preferably performed by localizing the body/object from the rest of the image, describing that object, and identifying that description. The disclosure details methods for gesture recognition, as well as the overall architecture for using gesture recognition to control of devices, including self-service machines.
摘要翻译：公开了一种用于控制自助服务机器和其他设备的手势识别界面。手势被定义为人类，动物或机器产生的运动和运动姿态。跟踪特定身体特征，并解释静态和运动手势。运动手势被定义为参数定界的振荡运动系列，被建模为参数线性参数动态系统，附加的几何约束允许使用少量的存储器和处理时间进行实时识别。优选使用线性最小二乘法来确定表示每个姿态的参数。特征位置测量结合使用手势参数种子的预测器仓组，并且系统确定哪个箱最适合观察到的运动。识别静态姿势手势优选地通过将来自图像的其余部分的身体/物体定位，描述该对象并识别该描述来执行。本公开详细描述了用于手势识别的方法，以及用于使用手势识别来控制设备（包括自助服务机器）的整体架构。

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