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1. 发明授权

US09378420B1 System for detecting an object of interest in a scene 有权
标题翻译：用于检测场景中的感兴趣对象的系统
公开(公告)号：US09378420B1
公开(公告)日：2016-06-28
申请号：US14292416
申请日：2014-05-30
申请人： HRL Laboratories, LLC
发明人： Terrell N. Mundhenk , A. Arturo Flores , Shinko Y Cheng , Howard Neely, III , Michael J. Daily
IPC分类号： G06K9/00
CPC分类号： G06K9/00624 , G06K9/00228 , G06K9/4642 , G06K9/4671 , G06K9/4676 , G06K9/6269
摘要： The present invention relates to a system for detecting an object of interest in a scene. The system operates by receiving an image frame of a scene and extracting features from the image frame, the features being descriptors. The descriptors are quantized to generate PHOW features. A sliding window protocol is implemented to slide a window over the image and analyze the PHOW features that fall inside the window. Finally, the system determines if the PHOW features represent the object of interest and, if so, then designates the window as a location in the image with a detected object of interest.
摘要翻译：本发明涉及一种用于检测场景中的感兴趣对象的系统。该系统通过接收场景的图像帧并从图像帧中提取特征来操作，特征是描述符。描述符被量化以产生PHOW特征。实现滑动窗口协议以将窗口滑过图像并分析落入窗口内的PHOW特征。最后，系统确定PHOW特征是否表示感兴趣的对象，如果是，则将窗口指定为图像中具有感兴趣对象的位置。

2. 发明授权

US08928815B1 System and method for outdoor scene change detection 有权
标题翻译：室外场景变化检测系统及方法
公开(公告)号：US08928815B1
公开(公告)日：2015-01-06
申请号：US14205362
申请日：2014-03-11
申请人： HRL Laboratories, LLC
发明人： Terrell N. Mundhenk , A. Arturo Flores
IPC分类号： H04N9/64 , H04N5/14 , H04N11/20
CPC分类号： H04N5/147 , G06T7/254 , G06T7/90
摘要： Described is a system for scene change detection. The system receives an input image (current frame) from a video stream. The input image is color conditioned to generate a color conditioned image. A sliding window is used to segment the input image into a plurality boxes. Descriptors are extracted from each box of the color conditioned image. Thereafter, differences in the descriptors are identified between a current frame and past frames. The differences are attenuated to generate a descriptor attenuation factor αi. Initial scores are generated for each box based on the descriptor attenuation factor αi. The initial scores are filtered to generate a set of conspicuity scores for each box, the set of conspicuity scores being reflective of the conspicuity of each box in the image. Finally, the conspicuity scores are presented to the user or provided to other systems for further processing.
摘要翻译：描述了用于场景变化检测的系统。系统从视频流接收输入图像（当前帧）。输入图像经过颜色调节以产生色彩图像。使用滑动窗口将输入图像分割成多个框。描述符是从色条图像的每个框中提取出来的。此后，在当前帧和过去帧之间识别描述符中的差异。差异被衰减以产生描述符衰减因子αi。基于描述符衰减因子αi为每个框生成初始分数。过滤初始分数以产生每个框的一组显着性分数，该显着性分数集反映了图像中每个框的显着性。最后，将显着性得分呈现给用户或提供给其他系统进行进一步处理。

3. 发明授权

US10002430B1 Training system for infield training of a vision-based object detector 有权
公开(公告)号：US10002430B1
公开(公告)日：2018-06-19
申请号：US15141416
申请日：2016-04-28
申请人： HRL Laboratories, LLC
发明人： Terrell N. Mundhenk , A. Arturo Flores , Howard Neely, III , Michael J. Daily
IPC分类号： G06T7/00 , G06N99/00
CPC分类号： G06N20/00 , G06K9/00771 , G06K9/4671 , G06K9/6265 , G06K9/6287 , G06T7/73 , G06T2207/20081
摘要： Described is a training system for training a vision-based object detector. The system is configured to run an object detector on an image of a cleared scene to detect objects in the cleared scene. The object detector includes a support vector machine (SVM) or similar classifier with a feature model to generate an SVM score for object features and a spatial bias threshold to generate augmented object scores. The system designated detected objects in the cleared scene as false detections and, based on that, updates at least one of the feature model and spatial bias threshold to designate the false detections as background. The updated feature model or updated spatial bias threshold are then stored for use in object detection.

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