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1. 发明授权

US06952224B2 Object trackability via parametric camera tuning 失效
标题翻译：通过参数摄像机调谐的对象可追踪性
公开(公告)号：US06952224B2
公开(公告)日：2005-10-04
申请号：US09822549
申请日：2001-03-30
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： G01S3/786 , G06F3/00 , H04N5/228 , H04N5/225
CPC分类号： G01S3/7864
摘要： A method and apparatus are described for improving object trackability via parametric camera tuning. According to one embodiment the improving of object trackability comprises loading prior camera settings if any stored prior camera settings are available. If no stored prior camera settings are available, loading one of a plurality of predetermined camera settings. A determination is made whether the camera settings loaded cause saturation of the image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
摘要翻译：描述了通过参数化相机调谐来提高对象可追踪性的方法和装置。根据一个实施例，对象可追溯性的改进包括如果有任何存储的先前的相机设置可用，则加载先前的相机设置。如果没有存储的先前的相机设置可用，则加载多个预定相机设置中的一个。确定加载的相机设置是否会导致图像饱和，以及对象之间以及对象之间的色调差异以及视频图像的背景。如果饱和度和色调差异不超过阈值，则执行相机设置的搜索以增加对象之间以及对象之间的差异和色差与视频图像的背景。

2. 发明授权

US07884858B2 Object trackability via parametric camera tuning 有权
标题翻译：通过参数摄像机调谐的对象可追踪性
公开(公告)号：US07884858B2
公开(公告)日：2011-02-08
申请号：US12265573
申请日：2008-11-05
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N5/228 , H04N5/225 , H04N9/64 , H04N9/73 , G06K9/00
CPC分类号： G01S3/7864
摘要： A method and apparatus are described for improving object trackability via parametric camera tuning. In one embodiment, a determination is made as to whether the camera settings loaded cause saturation of a video image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
摘要翻译：描述了通过参数化相机调谐来提高对象可追踪性的方法和装置。在一个实施例中，确定加载的相机设置是否导致视频图像的饱和度和对象之间以及对象之间的色相差和视频图像的背景。如果饱和度和色调差异不超过阈值，则执行相机设置的搜索以增加对象之间以及对象之间的差异和色差与视频图像的背景。

3. 发明申请

US20090059009A1 OBJECT TRACKABILITY VIA PARAMETRIC CAMERA TUNING 有权
标题翻译：通过参数相机调谐的对象跟踪
公开(公告)号：US20090059009A1
公开(公告)日：2009-03-05
申请号：US12265573
申请日：2008-11-05
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N5/225
CPC分类号： G01S3/7864
摘要： A method and apparatus are described for improving object trackability via parametric camera tuning. In one embodiment, a determination is made as to whether the camera settings loaded cause saturation of a video image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
摘要翻译：描述了通过参数化相机调谐来提高对象可追踪性的方法和装置。在一个实施例中，确定加载的相机设置是否导致视频图像的饱和度和对象之间以及对象之间的色相差和视频图像的背景。如果饱和度和色调差异不超过阈值，则执行相机设置的搜索以增加对象之间以及对象之间的差异和色差与视频图像的背景。

4. 发明申请

US20100007764A1 DETERMINING IMAGE QUALITY FOR IMPROVING OBJECT TRACKABILITY 有权
标题翻译：确定提高对象跟踪性的图像质量
公开(公告)号：US20100007764A1
公开(公告)日：2010-01-14
申请号：US12541033
申请日：2009-08-13
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N5/14 , G06K9/00
CPC分类号： G01S3/7864 , G06T7/20
摘要： A method and system are provided. In one embodiment, a video image is preprocessed from a video camera to separate objects to be tracked from the rest of the video image. Statistics for the tracked objects and the rest of the video image are computed. Further, a quality measure based on the statistics for the tracked objects and the rest of the video image are generated. The quality measure indicates the suitability of the video image for use by an object tracking system. The generating of the quality measure maximizes saturation of each of the tracked objects. Further, the video camera is tuned to increase the quality measure beyond a threshold.
摘要翻译：提供了一种方法和系统。在一个实施例中，从视频摄像机预处理视频图像以从视频图像的其余部分分离要跟踪的对象。计算跟踪对象和视频图像的其余部分的统计信息。此外，生成基于跟踪对象和视频图像的其余部分的统计量的质量度量。质量测量表示视频图像由对象跟踪系统使用的适用性。质量测量的产生使每个跟踪对象的饱和度最大化。此外，调整摄像机以将质量测量值增加到超过阈值。

5. 发明申请

US20050093984A1 Object trackability via parametric camera tuning 失效
标题翻译：通过参数摄像机调谐的对象可追踪性
公开(公告)号：US20050093984A1
公开(公告)日：2005-05-05
申请号：US11014300
申请日：2004-12-16
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： G01S3/786 , G06F3/00 , H04N5/225
CPC分类号： G01S3/7864
摘要： A method and apparatus are described for improving object trackability via parametric camera tuning. In one embodiment, a determination is made as to whether the camera settings loaded cause saturation of a video image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
摘要翻译：描述了通过参数化相机调谐来提高对象可追踪性的方法和装置。在一个实施例中，确定加载的相机设置是否导致视频图像的饱和度和对象之间以及对象之间的色相差和视频图像的背景。如果饱和度和色调差异不超过阈值，则执行相机设置的搜索以增加对象之间以及对象之间的差异和色差与视频图像的背景。

6. 发明授权

US07986347B2 Determining image quality for improving object trackability 有权
标题翻译：确定图像质量以提高对象的可追踪性
公开(公告)号：US07986347B2
公开(公告)日：2011-07-26
申请号：US12541033
申请日：2009-08-13
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N9/73
CPC分类号： G01S3/7864 , G06T7/20
摘要： A method and system are provided. In one embodiment, a video image is preprocessed from a video camera to separate objects to be tracked from the rest of the video image. Statistics for the tracked objects and the rest of the video image are computed. Further, a quality measure based on the statistics for the tracked objects and the rest of the video image are generated. The quality measure indicates the suitability of the video image for use by an object tracking system. The generating of the quality measure maximizes saturation of each of the tracked objects. Further, the video camera is tuned to increase the quality measure beyond a threshold.
摘要翻译：提供了一种方法和系统。在一个实施例中，从视频摄像机预处理视频图像以从视频图像的其余部分分离要跟踪的对象。计算跟踪对象和视频图像的其余部分的统计信息。此外，生成基于跟踪对象和视频图像的其余部分的统计量的质量度量。质量测量表示视频图像由对象跟踪系统使用的适用性。质量测量的产生使每个跟踪对象的饱和度最大化。此外，调整摄像机以将质量测量值增加到超过阈值。

7. 发明申请

US20060023072A1 Determining image quality for improving object trackability 有权
公开(公告)号：US20060023072A1
公开(公告)日：2006-02-02
申请号：US11241160
申请日：2005-09-30
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N5/225
CPC分类号： G01S3/7864 , G06T7/20
摘要： A method and system are provided. In one embodiment, a video image is preprocessed from a video camera to separate objects to be tracked from the rest of the video image. Statistics for the tracked objects and the rest of the video image are computed. Further, a quality measure based on the statistics for the tracked objects and the rest of the video image are generated. The quality measure indicates the suitability of the video image for use by an object tracking system. The generating of the quality measure maximizes saturation of each of the tracked objects. Further, the video camera is tuned to increase the quality measure beyond a threshold.

8. 发明授权

US07595820B2 Determining image quality for improving object trackability 有权
标题翻译：确定图像质量以提高对象的可追踪性
公开(公告)号：US07595820B2
公开(公告)日：2009-09-29
申请号：US11241160
申请日：2005-09-30
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N9/73
CPC分类号： G01S3/7864 , G06T7/20
摘要： A method and system are provided. In one embodiment, a video image is preprocessed from a video camera to separate objects to be tracked from the rest of the video image. Statistics for the tracked objects and the rest of the video image are computed. Further, a quality measure based on the statistics for the tracked objects and the rest of the video image are generated. The quality measure indicates the suitability of the video image for use by an object tracking system. The generating of the quality measure maximizes saturation of each of the tracked objects. Further, the video camera is tuned to increase the quality measure beyond a threshold.
摘要翻译：提供了一种方法和系统。在一个实施例中，从视频摄像机预处理视频图像以从视频图像的其余部分分离要跟踪的对象。计算跟踪对象和视频图像的其余部分的统计信息。此外，生成基于跟踪对象和视频图像的其余部分的统计量的质量度量。质量测量表示视频图像由对象跟踪系统使用的适用性。质量测量的产生使每个跟踪对象的饱和度最大化。此外，调整摄像机以将质量测量值增加到超过阈值。

9. 发明授权

US07453497B2 Object trackability via parametric camera tuning 失效
标题翻译：通过参数摄像机调谐的对象可追踪性
公开(公告)号：US07453497B2
公开(公告)日：2008-11-18
申请号：US11014300
申请日：2004-12-16
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N5/228 , H04N5/225 , G06K9/00
CPC分类号： G01S3/7864
摘要： A method and apparatus are described for improving object trackability via parametric camera tuning. In one embodiment, a determination is made as to whether the camera settings loaded cause saturation of a video image and hue differences between objects and between the objects and a background of the video image. If the saturation and hue differences do not exceed the threshold, a search of camera settings is performed to increase saturation and hue differences between objects and between the objects and a background of the video image.
摘要翻译：描述了通过参数化相机调谐来提高对象可追踪性的方法和装置。在一个实施例中，确定加载的相机设置是否导致视频图像的饱和度和对象之间以及对象之间的色相差和视频图像的背景。如果饱和度和色调差异不超过阈值，则执行相机设置的搜索以增加对象之间以及对象之间的差异和色差与视频图像的背景。

10. 发明授权

US06985179B2 Determining image quality for improving object trackability 有权
公开(公告)号：US06985179B2
公开(公告)日：2006-01-10
申请号：US09822648
申请日：2001-03-30
申请人： Fernando Martins , Wei Sun
发明人： Fernando Martins , Wei Sun
IPC分类号： H04N9/73
CPC分类号： G01S3/7864 , G06T7/20
摘要： A method and apparatus are provided that determine the suitability of an image for use by an object tracking system. According to one embodiment of the present invention an image is preprocessed to separate one or more objects to be tracked from the rest of the image and compute statistics for the one or more objects to be tracked and the rest of the image. A quality measure is generated based on the statistics for the one or more objects to be tracked and the rest of the image that indicates the suitability of the image for use by an object tracking system.

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