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1. 发明授权

US08351649B1 Video feed target tracking 有权
标题翻译：视频Feed目标跟踪
公开(公告)号：US08351649B1
公开(公告)日：2013-01-08
申请号：US12416913
申请日：2009-04-01
申请人： Gerard Medioni , Qian Yu , Thang Ba Dinh
发明人： Gerard Medioni , Qian Yu , Thang Ba Dinh
IPC分类号： G06K9/00
CPC分类号： G06K9/6282 , G06K9/00771 , G06T7/251 , G06T2207/10016 , G06T2207/30201
摘要： Technologies for object tracking can include accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object operating a discriminative tracker to discriminate the object from the object's background, where operating the discriminative tracker can include using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object; training the generative tracker and the discriminative tracker based on the video feed, where the training can include updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker.
摘要翻译：用于对象跟踪的技术可以包括访问在视频馈送的至少一部分中捕获对象的视频馈送; 操作生成跟踪器以捕获操作鉴别跟踪器的对象的外观变化，以区分对象与对象的背景，其中操作鉴别性跟踪器可以包括使用滑动窗口来处理来自视频馈送的数据，以及将滑动窗口推进到焦点最近出现的对象变化的歧视性追踪器; 基于所述视频馈送来训练所述生成跟踪器和所述歧视性跟踪器，其中所述训练可以包括基于所述识别跟踪器的输出来更新所述生成跟踪器，以及基于所述生成跟踪器的输出来更新所述识别跟踪器; 以及基于来自生成跟踪器的输出和来自辨别性跟踪器的输出的信息来跟踪对象。

2. 发明申请

US20120321128A1 VIDEO FEED TARGET TRACKING 有权
标题翻译：视频进给目标跟踪
公开(公告)号：US20120321128A1
公开(公告)日：2012-12-20
申请号：US12416913
申请日：2009-04-01
申请人： GERARD MEDIONI , QIAN YU , THANG BA DINH
发明人： GERARD MEDIONI , QIAN YU , THANG BA DINH
IPC分类号： G06K9/00
CPC分类号： G06K9/6282 , G06K9/00771 , G06T7/251 , G06T2207/10016 , G06T2207/30201
摘要： Technologies for object tracking can include accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object operating a discriminative tracker to discriminate the object from the object's background, where operating the discriminative tracker can include using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object; training the generative tracker and the discriminative tracker based on the video feed, where the training can include updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker.
摘要翻译：用于对象跟踪的技术可以包括访问在视频馈送的至少一部分中捕获对象的视频馈送; 操作生成跟踪器以捕获操作鉴别跟踪器的对象的外观变化，以区分对象与对象的背景，其中操作鉴别性跟踪器可以包括使用滑动窗口来处理来自视频馈送的数据，以及将滑动窗口推进到焦点最近出现的对象变化的歧视性追踪器; 基于所述视频馈送来训练所述生成跟踪器和所述歧视性跟踪器，其中所述训练可以包括基于所述识别跟踪器的输出来更新所述生成跟踪器，以及基于所述生成跟踪器的输出来更新所述识别跟踪器; 以及基于来自生成跟踪器的输出和来自辨别性跟踪器的输出的信息来跟踪对象。

3. 发明授权

US09437009B2 Visual tracking in video images in unconstrained environments by exploiting on-the-fly context using supporters and distracters 有权
标题翻译：通过利用支持者和干扰者的动态上下文，在无约束环境中视频图像的视觉跟踪
公开(公告)号：US09437009B2
公开(公告)日：2016-09-06
申请号：US13528668
申请日：2012-06-20
申请人： Gerard Guy Medioni , Thang Ba Dinh
发明人： Gerard Guy Medioni , Thang Ba Dinh
IPC分类号： G06T7/20
CPC分类号： G06T7/20 , G06T7/248 , G06T2207/20081 , G06T2207/30196
摘要： The present disclosure describes systems and techniques relating to identifying and tracking objects in images, such as visual tracking in video images in unconstrained environments. According to an aspect, a system includes one or more processors, and computer-readable media configured and arranged to cause the one or more processors to: identify an object in a first image of a sequence of images, identifying one or more regions similar to the object in the first image of the sequence of images, identifying one or more features around the object in the first image of the sequence of images, preventing drift in detection of the object in a second image of the sequence of images based on the one or more regions similar to the object, and verifying the object in the second image of the sequence of images based on the one or more features.
摘要翻译：本公开描述了与识别和跟踪图像中的对象有关的系统和技术，例如在非约束环境中的视频图像中的视觉跟踪。根据一个方面，一种系统包括一个或多个处理器，以及被配置和布置成使一个或多个处理器：识别图像序列的第一图像中的对象的识别一个或多个类似于图像序列的第一图像中的对象，识别图像序列的第一图像中的对象周围的一个或多个特征，防止基于该图像序列的图像序列的第二图像中的对象的检测中的漂移或更多个区域，以及基于一个或多个特征来验证图像序列的第二图像中的对象。

4. 发明申请

US20150286872A1 VISUAL TRACKING IN VIDEO IMAGES IN UNCONSTRAINED ENVIRONMENTS BY EXPLOITING ON-THE-FLY CONTXT USING SUPPORTERS AND DISTRACTERS 有权
标题翻译：通过使用支持者和分配器进行在线浏览，可视化跟踪视频图像在不受约束的环境中
公开(公告)号：US20150286872A1
公开(公告)日：2015-10-08
申请号：US13528668
申请日：2012-06-20
申请人： Gerard Guy Medioni , Thang Ba Dinh
发明人： Gerard Guy Medioni , Thang Ba Dinh
IPC分类号： G06K9/00 , G06T7/20 , G06K9/46 , G06K9/62
CPC分类号： G06T7/20 , G06T7/248 , G06T2207/20081 , G06T2207/30196
摘要： The present disclosure describes systems and techniques relating to identifying and tracking objects in images, such as visual tracking in video images in unconstrained environments. According to an aspect, a system includes one or more processors, and computer-readable media configured and arranged to cause the one or more processors to: identify an object in a first image of a sequence of images, identifying one or more regions similar to the object in the first image of the sequence of images, identifying one or more features around the object in the first image of the sequence of images, preventing drift in detection of the object in a second image of the sequence of images based on the one or more regions similar to the object, and verifying the object in the second image of the sequence of images based on the one or more features.
摘要翻译：本公开描述了与识别和跟踪图像中的对象有关的系统和技术，例如在非约束环境中的视频图像中的视觉跟踪。根据一个方面，一种系统包括一个或多个处理器，以及被配置和布置成使一个或多个处理器：识别图像序列的第一图像中的对象的识别一个或多个类似于图像序列的第一图像中的对象，识别图像序列的第一图像中的对象周围的一个或多个特征，防止基于该图像序列的图像序列的第二图像中的对象的检测中的漂移或更多个区域，以及基于一个或多个特征来验证图像序列的第二图像中的对象。

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