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1. 发明申请

US20140037134A1 GESTURE RECOGNITION USING DEPTH IMAGES 有权
标题翻译：使用深度图像进行识别识别
公开(公告)号：US20140037134A1
公开(公告)日：2014-02-06
申请号：US13387221
申请日：2011-04-11
申请人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
发明人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , G06F3/017 , G06K9/00228 , G06K9/00261
摘要： Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.
摘要翻译：本文公开了使用深度图像与手势识别相关联的方法，装置和文章。在各种实施例中，装置可以包括面部检测引擎，其被配置为确定面部是否存在于由深度相机产生的各个图像帧的一个或多个灰度图像中，以及手动跟踪引擎，其配置成在一个或多个由深度相机产生的深度图像。该装置还可以包括特征提取和手势推断引擎，其被配置为基于手跟踪引擎的跟踪结果来提取特征，以及至少部分地基于所提取的特征推断手势。也可以公开和要求保护其他实施例。

2. 发明申请

US20140300539A1 GESTURE RECOGNITION USING DEPTH IMAGES 审中-公开
公开(公告)号：US20140300539A1
公开(公告)日：2014-10-09
申请号：US14271191
申请日：2014-05-06
申请人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
发明人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
IPC分类号： G06K9/00 , G06F3/01
CPC分类号： G06K9/00355 , G06F3/017 , G06K9/00228 , G06K9/00261
摘要： Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.

3. 发明授权

US08718327B2 Gesture recognition using depth images 有权
标题翻译：使用深度图像的手势识别
公开(公告)号：US08718327B2
公开(公告)日：2014-05-06
申请号：US13387221
申请日：2011-04-11
申请人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
发明人： Xiaofeng Tong , Dayong Ding , Wenlong Li , Yimin Zhang
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , G06F3/017 , G06K9/00228 , G06K9/00261
摘要： Methods, apparatuses, and articles associated with gesture recognition using depth images are disclosed herein. In various embodiments, an apparatus may include a face detection engine configured to determine whether a face is present in one or more gray images of respective image frames generated by a depth camera, and a hand tracking engine configured to track a hand in one or more depth images generated by the depth camera. The apparatus may further include a feature extraction and gesture inference engine configured to extract features based on results of the tracking by the hand tracking engine, and infer a hand gesture based at least in part on the extracted features. Other embodiments may also be disclosed and claimed.
摘要翻译：本文公开了使用深度图像与手势识别相关联的方法，装置和文章。在各种实施例中，装置可以包括面部检测引擎，其被配置为确定面部是否存在于由深度相机产生的各个图像帧的一个或多个灰度图像中，以及手动跟踪引擎，其配置成在一个或多个由深度相机产生的深度图像。该装置还可以包括特征提取和手势推断引擎，其被配置为基于手跟踪引擎的跟踪结果来提取特征，以及至少部分地基于所提取的特征推断手势。也可以公开和要求保护其他实施例。

4. 发明授权

US08781221B2 Hand gesture recognition system 有权
标题翻译：手势识别系统
公开(公告)号：US08781221B2
公开(公告)日：2014-07-15
申请号：US13574823
申请日：2011-04-11
申请人： Dayong Ding , Wenlong Li , Yimin Zhang , Xiaofeng Tong , Jianguo Li
发明人： Dayong Ding , Wenlong Li , Yimin Zhang , Xiaofeng Tong , Jianguo Li
IPC分类号： G06K9/34
CPC分类号： G06K9/00355 , G06F3/017 , G06K9/00228 , G06K9/4652 , G06K9/6272
摘要： A cost-effective and computationally efficient hand gesture recognition system for detecting and/or tracking a face region and/or a hand region in a series of images. A skin segmentation model is updated with skin pixel information from the face and iteratively applied to the pixels in the hand region, to more accurately identify the pixels in the hand region given current lighting conditions around the image. Shape features are then extracted from the image, and based on the shape features, a hand gesture is identified in the image. The identified hand gesture may be used to generate a command signal to control the operation of an application or system.
摘要翻译：一种用于在一系列图像中检测和/或跟踪面部区域和/或手区域的经济有效且计算效率高的手势识别系统。使用来自脸部的皮肤像素信息更新皮肤分割模型，并迭代地应用于手区域中的像素，以便在图像周围的当前照明条件下更准确地识别手区域中的像素。然后从图像中提取形状特征，并且基于形状特征，在图像中识别手势。可以使用所识别的手势来产生用于控制应用或系统的操作的命令信号。

5. 发明申请

US20130278504A1 DYNAMIC GESTURE BASED SHORT-RANGE HUMAN-MACHINE INTERACTION 有权
标题翻译：基于动态作业的短距离人机交互
公开(公告)号：US20130278504A1
公开(公告)日：2013-10-24
申请号：US13977248
申请日：2011-11-01
申请人： Xiaofeng Tong , Dayong Ding , Wenlong Li
发明人： Xiaofeng Tong , Dayong Ding , Wenlong Li
IPC分类号： G06F3/01
CPC分类号： G06F3/017 , G06K9/00355
摘要： Systems, devices and methods are described including starting a gesture recognition engine in response to detecting an initiation gesture and using the gesture recognition engine to determine a hand posture and a hand trajectory in various depth images. The gesture recognition engine may then use the hand posture and the hand trajectory to recognize a dynamic hand gesture and provide corresponding user interface command.
摘要翻译：描述了系统，设备和方法，包括响应于检测到启动手势而启动手势识别引擎，并使用手势识别引擎确定各种深度图像中的手势和手轨迹。手势识别引擎然后可以使用手势和手迹来识别动态手势并提供对应的用户界面命令。

6. 发明授权

US09164589B2 Dynamic gesture based short-range human-machine interaction 有权
标题翻译：基于动态姿态的短距离人机交互
公开(公告)号：US09164589B2
公开(公告)日：2015-10-20
申请号：US13977248
申请日：2011-11-01
申请人： Xiaofeng Tong , Dayong Ding , Wenlong Li
发明人： Xiaofeng Tong , Dayong Ding , Wenlong Li
IPC分类号： G09G5/00 , G06F3/01 , G06K9/00
CPC分类号： G06F3/017 , G06K9/00355
摘要： Systems, devices and methods are described including starting a gesture recognition engine in response to detecting an initiation gesture and using the gesture recognition engine to determine a hand posture and a hand trajectory in various depth images. The gesture recognition engine may then use the hand posture and the hand trajectory to recognize a dynamic hand gesture and provide corresponding user interface command.
摘要翻译：描述了系统，设备和方法，包括响应于检测到启动手势而启动手势识别引擎，并使用手势识别引擎确定各种深度图像中的手势和手轨迹。手势识别引擎然后可以使用手势和手迹来识别动态手势并提供对应的用户界面命令。

7. 发明申请

US20130276029A1 Using Gestures to Capture Multimedia Clips 审中-公开
标题翻译：使用手势捕捉多媒体剪辑
公开(公告)号：US20130276029A1
公开(公告)日：2013-10-17
申请号：US13994764
申请日：2011-09-12
申请人： Wenlong Li , Dayong Ding , Xiaofeng Tong , Yangzhou Du , Peng Wang
发明人： Wenlong Li , Dayong Ding , Xiaofeng Tong , Yangzhou Du , Peng Wang
IPC分类号： H04N21/482
CPC分类号： H04N21/482 , G06F16/40 , H04N21/25891 , H04N21/4126 , H04N21/4183 , H04N21/4223 , H04N21/44008 , H04N21/44218 , H04N21/4722 , H04N21/4788 , H04N21/632
摘要： In response to a gestural command, a video currently being watched can be identified by extracting at least one decoded frame from a television transmission. The frame can be transmitted to a separate mobile device for requesting an image search and for receiving the search results. The search results can be used to obtain more information. The user's social networking friends can also be contacted to obtain more information about the clip.
摘要翻译：响应于手势命令，可以通过从电视传输中提取至少一个解码的帧来识别当前正在观看的视频。该帧可以被发送到单独的移动设备，用于请求图像搜索和接收搜索结果。搜索结果可用于获取更多信息。还可以联系用户的社交网络朋友以获取有关剪辑的更多信息。

8. 发明申请

US20110261187A1 Extracting and Mapping Three Dimensional Features from Geo-Referenced Images 审中-公开
标题翻译：从地理参考图像中提取和绘制三维特征
公开(公告)号：US20110261187A1
公开(公告)日：2011-10-27
申请号：US13000099
申请日：2010-02-01
申请人： Peng Wang , Tao Wang , Dayong Ding , Yimin Zhang
发明人： Peng Wang , Tao Wang , Dayong Ding , Yimin Zhang
IPC分类号： H04N7/18 , G06T15/00
CPC分类号： G01C21/3602 , G01C21/165 , G06T7/344 , G06T17/05
摘要： Mobile Internet devices may be used to generate Mirror World depictions. The mobile Internet devices may use inertial navigation system sensor data, combined with camera images, to develop three dimensional models. The con of an input geometric model may be aligned with edge features of the input camera images instead of using point features of images or laser scan data.
摘要翻译：移动互联网设备可能用于生成镜像世界的描述。移动互联网设备可以使用惯性导航系统传感器数据，结合摄像机图像来开发三维模型。输入几何模型的con可以与输入相机图像的边缘特征对齐，而不是使用图像的点特征或激光扫描数据。

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