公开(公告)号：US20110116682A1

公开(公告)日：2011-05-19

申请号：US12700706

申请日：2010-02-04

Applicant: Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

Inventor： Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

IPC: G06K9/00

CPC classification number: G06K9/00771 ,  G06T7/246 ,  G06T7/254 ,  G06T7/44 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20032 ,  G06T2207/20221 ,  G06T2207/30232

Abstract: An object detection method and an object detection system, suitable for detecting moving object information of a video stream having a plurality of images, are provided. The method performs a moving object foreground detection on each of the images, so as to obtain a first foreground detection image comprising a plurality of moving objects. The method also performs a texture object foreground detection on each of the images, so as to obtain a second foreground detection image comprising a plurality of texture objects. The moving objects in the first foreground detection image and the texture objects in the second foreground detection image are selected and filtered, and then the remaining moving objects or texture objects after the filtering are output as real moving object information.

Abstract translation: 提供了一种适用于检测具有多个图像的视频流的移动物体信息的物体检测方法和物体检测系统。 该方法对每个图像执行移动物体前景检测，以便获得包括多个移动物体的第一前景检测图像。 该方法还对每个图像执行纹理对象前景检测，以便获得包括多个纹理对象的第二前景检测图像。 选择并过滤第一前景检测图像中的移动对象和第二前景检测图像中的纹理对象，然后将滤波后的剩余移动对象或纹理对象作为实际移动对象信息输出。

公开(公告)号：US20110115920A1

公开(公告)日：2011-05-19

申请号：US12703207

申请日：2010-02-10

Applicant: Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

Inventor： Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

IPC: G06K9/00 ,  H04N5/225

CPC classification number: G06K9/00778 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/30232 ,  H04N5/23254

Abstract: A multi-state target tracking method and a multi-state target tracking system are provided. The method detects a crowd density of a plurality of images in a video stream and compares the detected crowd density with a threshold when receiving the video stream, so as to determine a tracking mode used for detecting the targets in the images. When the detected crowd density is less than the threshold, a background model is used to track the targets in the images. When the detected crowd density is greater than or equal to the threshold, a none-background model is used to track the targets in the images.

Abstract translation: 提供了多状态目标跟踪方法和多状态目标跟踪系统。 该方法检测视频流中的多个图像的人群密度，并且当接收到视频流时将检测到的人群密度与阈值进行比较，以便确定用于检测图像中的目标的跟踪模式。 当检测到的人群密度小于阈值时，使用背景模型来跟踪图像中的目标。 当检测到的人群密度大于或等于阈值时，无背景模型用于跟踪图像中的目标。

公开(公告)号：US09265333B2

公开(公告)日：2016-02-23

申请号：US13863502

申请日：2013-04-16

Applicant: Ya-Lin Huang

Inventor： Ya-Lin Huang

IPC: A46B3/18 ,  A61C15/00

CPC classification number: A46B3/18 ,  A46B2200/108 ,  A61C15/00

Abstract: An anti-loose interdental brush includes a plurality of fixing portions formed on a bristle stem of an interdental brush. Each fixing portion includes a bottom wall, a side wall formed laterally from the bottom wall, and a capacity area surrounded by the bottom wall and the side wall. The adjacent bottom walls of the adjacent fixing portions are orientated in different directions. Thus, the adjacent capacity areas are set in different directions to contact the handle. An outer diameter of the bottom wall can be preferably larger than or equal to an outer diameter of the bristle stem. Accordingly, a dual engaging and fixing effect between the bristle stem and the handle is attained to prevent the bristle stem from loosening and rotating due to an external force and to enhance safety in using.

Abstract translation: 防松牙齿刷包括形成在牙间刷的刷毛柄上的多个固定部。 每个固定部分包括底壁，从底壁横向形成的侧壁和由底壁和侧壁包围的容纳区域。 相邻固定部分的相邻底壁沿不同方向定向。 因此，相邻容量区域被设定在不同的方向以接触手柄。 底壁的外径优选大于或等于刷毛柄的外径。 因此，实现了刷毛柄和把手之间的双重接合和固定效果，以防止由于外力而使刷毛柄松动和旋转并增强使用中的安全性。

公开(公告)号：US20140304933A1

公开(公告)日：2014-10-16

申请号：US13863502

申请日：2013-04-16

Applicant: YA-LIN HUANG

Inventor： YA-LIN HUANG

IPC: A46B3/18 ,  A61C15/00

CPC classification number: A46B3/18 ,  A46B2200/108 ,  A61C15/00

Abstract: An anti-loose interdental brush comprises a plurality of fixing portions formed on a bristle stem of an interdental brush. Each fixing portion includes a bottom wall, a side wall formed laterally from the bottom wall, and a capacity area surrounded by the bottom wall and the side wall. The adjacent bottom walls of the adjacent fixing portions are orientated in different directions, whereby the adjacent capacity areas are set in different directions to contact said handle. An outer diameter of the bottom wall can be preferably larger than or equal to an outer diameter of the bristle stem. Accordingly, a dual engaging and fixing effect between the bristle stem and the handle is attained to prevent the bristle stem from loosening and rotating due to an external force and enhance the safety in using.

Abstract translation: 防松牙齿刷包括形成在齿间刷子的刷毛柄上的多个固定部分。 每个固定部分包括底壁，从底壁横向形成的侧壁和由底壁和侧壁包围的容纳区域。 相邻的固定部分的相邻的底壁在不同的方向上定向，由此相邻的容纳区域被设置在不同的方向上以接触所述手柄。 底壁的外径优选大于或等于刷毛柄的外径。 因此，实现了刷毛柄和手柄之间的双重接合和固定效果，以防止刷毛杆由于外力而松动和旋转并增强了使用中的安全性。

公开(公告)号：US08559670B2

公开(公告)日：2013-10-15

申请号：US12700706

申请日：2010-02-04

Applicant: Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

Inventor： Jian-Cheng Wang ,  Cheng-Chang Lien ,  Ya-Lin Huang ,  Yue-Min Jiang

IPC: G06K9/00

CPC classification number: G06K9/00771 ,  G06T7/246 ,  G06T7/254 ,  G06T7/44 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20032 ,  G06T2207/20221 ,  G06T2207/30232

Abstract: An object detection method and an object detection system, suitable for detecting moving object information of a video stream having a plurality of images, are provided. The method performs a moving object foreground detection on each of the images, so as to obtain a first foreground detection image comprising a plurality of moving objects. The method also performs a texture object foreground detection on each of the images, so as to obtain a second foreground detection image comprising a plurality of texture objects. The moving objects in the first foreground detection image and the texture objects in the second foreground detection image are selected and filtered, and then the remaining moving objects or texture objects after the filtering are output as real moving object information.

Abstract translation: 提供了一种适用于检测具有多个图像的视频流的移动物体信息的物体检测方法和物体检测系统。 该方法对每个图像执行移动物体前景检测，以便获得包括多个移动物体的第一前景检测图像。 该方法还对每个图像执行纹理对象前景检测，以便获得包括多个纹理对象的第二前景检测图像。 选择并过滤第一前景检测图像中的移动对象和第二前景检测图像中的纹理对象，然后将滤波后的剩余移动对象或纹理对象作为实际移动对象信息输出。