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1. 发明授权

US08675917B2 Abandoned object recognition using pedestrian detection 有权
标题翻译：放弃对象识别使用行人检测
公开(公告)号：US08675917B2
公开(公告)日：2014-03-18
申请号：US13285354
申请日：2011-10-31
申请人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
IPC分类号： G06K9/00 , H04N5/225
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译：提供了使用行人检测改进废弃物识别的方法和装置。通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。

2. 发明申请

US20130108102A1 Abandoned Object Recognition Using Pedestrian Detection 有权
标题翻译：放弃对象识别使用行人检测
公开(公告)号：US20130108102A1
公开(公告)日：2013-05-02
申请号：US13285354
申请日：2011-10-31
申请人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Frederik C. Kjeldsen , Kristina Scherbaum
IPC分类号： G06K9/62
CPC分类号： G06K9/00369 , G06K9/626 , G06K9/6857
摘要： Methods and apparatus are provided for improved abandoned object recognition using pedestrian detection. An abandoned object is detected in one or more images by determining if one or more detected objects in a foreground of the images comprises a potential abandoned object; applying a trained pedestrian detector to the potential abandoned object to determine if the potential abandoned object comprises at least a portion of a pedestrian; and classifying the potential abandoned object as an abandoned object based on whether the potential abandoned object is not at least a portion of a pedestrian. The trained pedestrian detector is trained using positive training samples comprised of at least portions of human bodies in one or more poses and/or negative training samples comprised of at least portions of abandoned objects.
摘要翻译：提供了使用行人检测改进废弃物识别的方法和装置。通过确定图像的前景中的一个或多个检测到的对象是否包括潜在废弃对象，在一个或多个图像中检测到废弃物体; 将经过训练的行人检测器应用于潜在废弃物体以确定潜在废弃物体是否包括行人的至少一部分; 并且基于潜在废弃物体是否不是行人的至少一部分，将潜在废弃物体分类为废弃物体。训练有素的行人检测器使用由至少部分被遗弃物体组成的一个或多个姿势和/或负训练样本中的人体的至少部分组成的训练有素的训练样本进行训练。

3. 发明申请

US20120274805A1 Color Correction for Static Cameras 有权
标题翻译：静态相机的颜色校正
公开(公告)号：US20120274805A1
公开(公告)日：2012-11-01
申请号：US13097435
申请日：2011-04-29
申请人： Lisa M. Brown , Kristina Scherbaum , Rogerio S. Feris , Sharathchandra U. Pankanti
发明人： Lisa M. Brown , Kristina Scherbaum , Rogerio S. Feris , Sharathchandra U. Pankanti
IPC分类号： H04N9/73
CPC分类号： H04N9/735 , H04N5/272 , H04N7/183
摘要： Methods and apparatus are provided for color correction of images. One or more colors in an image obtained from a static video camera are corrected by obtaining one or more historical background models from one or more prior images obtained from the static video camera; obtaining a live background model and a live foreground model from one or more current images obtained from the static video camera; generating a reference image from the one or more historical background models; and processing the reference image, the live background model, and the live foreground model to generate a set of color corrected foreground objects in the image. The set of color corrected foreground objects is optionally processed to classify a color of at least one of the foreground objects.
摘要翻译：为图像的颜色校正提供了方法和装置。通过从从静态摄像机获得的一个或多个先前图像获得一个或多个历史背景模型来校正从静态摄像机获得的图像中的一种或多种颜色; 从静态摄像机获得的一个或多个当前图像获得实况背景模型和实况前景模型; 从所述一个或多个历史背景模型生成参考图像; 以及处理参考图像，实况背景模型和实况前景模型以生成图像中的一组颜色校正的前景对象。可选地处理该组色彩校正的前景对象以对至少一个前景对象的颜色进行分类。

4. 发明授权

US08824791B2 Color correction for static cameras 有权
标题翻译：静态摄像机的色彩校正
公开(公告)号：US08824791B2
公开(公告)日：2014-09-02
申请号：US13097435
申请日：2011-04-29
申请人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , Kristina Scherbaum
发明人： Lisa M. Brown , Rogerio S. Feris , Sharathchandra U. Pankanti , Kristina Scherbaum
IPC分类号： G06K9/00 , H04N5/272 , H04N9/73 , H04N7/18
CPC分类号： H04N9/735 , H04N5/272 , H04N7/183
摘要： Methods and apparatus are provided for color correction of images. One or more colors in an image obtained from a static video camera are corrected by obtaining one or more historical background models from one or more prior images obtained from the static video camera; obtaining a live background model and a live foreground model from one or more current images obtained from the static video camera; generating a reference image from the one or more historical background models; and processing the reference image, the live background model, and the live foreground model to generate a set of color corrected foreground objects in the image. The set of color corrected foreground objects is optionally processed to classify a color of at least one of the foreground objects.
摘要翻译：为图像的颜色校正提供了方法和装置。通过从从静态摄像机获得的一个或多个先前图像获得一个或多个历史背景模型来校正从静态摄像机获得的图像中的一种或多种颜色; 从静态摄像机获得的一个或多个当前图像获得实况背景模型和实况前景模型; 从所述一个或多个历史背景模型生成参考图像; 以及处理参考图像，实况背景模型和实况前景模型以生成图像中的一组颜色校正的前景对象。可选地处理该组色彩校正的前景对象以对至少一个前景对象的颜色进行分类。

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