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公开(公告)号：US10783430B2
公开(公告)日：2020-09-22
申请号：US15276188
申请日：2016-09-26
Applicant: The Boeing Company , HRL Laboratories, LLC
Inventor： Peter S. Wittenberg , Peter Petre , Shankar R. Rao
IPC: G06N3/06 , G06N3/063 , G01R23/167 , G06F17/16 , G06N3/04 , G06N3/08 , H03F3/19 , H04B1/00 , H04B1/12 , H03H17/02 , H03H17/00 , H03H21/00
Abstract: A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.
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公开(公告)号：US20180089558A1
公开(公告)日：2018-03-29
申请号：US15276188
申请日：2016-09-26
Applicant: The Boeing Company , HRL Laboratories, LLC
Inventor： Peter S. Wittenberg , Peter Petre , Shankar R. Rao
Abstract: A method for removing an extracted RF signal to examine a spectrum of at least one other RF signal includes receiving a mixture signal by an ADC. The mixture signal includes a plurality of separate signals from different signal sources. The mixture signal is digitized by the ADC. A first digitized signal and a second digitized signal are generated that are the same. The first digitized signal is delayed a predetermined time delay and the second digitized signal is processed in a neuromorphic signal processor to extract an extracted signal. The predetermined time delay corresponds to a delay embedding in the neuromorphic signal processor. A phase delay and amplitude of the extracted signal is adjusted based on a phase delay and amplitude of the first digitized signal. An adjusted extracted signal is cancelled from the first digitized signal to provide an input examination signal for examination.
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公开(公告)号：US10429491B2
公开(公告)日：2019-10-01
申请号：US15262987
申请日：2016-09-12
Applicant: THE BOEING COMPANY , HRL LABORATORIES, LLC
Inventor： Gary Alan Ray , Peter Petre , Charles E. Martin , Shankar R. Rao
Abstract: A method for generating pulse descriptor words (PDWs) including frequency and/or bandwidth data from time-varying signals received by a sensor includes filtering, at a plurality of blind source separation (BSS) modules, signals derived from the time-varying signals, each BSS module including a filtering subsystem having a plurality of filter modules. Each filter module has a frequency filter coefficient (α) and is parameterized by a center frequency (f). The method also includes transmitting at least one blind source separated signal from the BSS modules to a PDW generation module communicatively coupled to the filtering subsystem. The method further includes generating, using the PDW generation module and based on the blind source separated signal, at least one PDW parameter vector signal containing the frequency data. The method also includes updating, upon generating and based on the PDW parameter vector signal, values of α and/or f for each filter module.
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公开(公告)号：US10755149B2
公开(公告)日：2020-08-25
申请号：US15949896
申请日：2018-04-10
Applicant: HRL Laboratories, LLC
Inventor： Soheil Kolouri , Shankar R. Rao , Kyungnam Kim
IPC: G06K9/72 , G06K9/62 , G06N3/04 , G06N3/08 , B60W10/20 , G05D1/00 , B60W10/18 , G06K9/46 , G06K9/00
Abstract: Described is a system that can recognize novel objects that the system has never before seen. The system uses a training image set to learn a model that maps visual features from known images to semantic attributes. The learned model is used to map visual features of an unseen input image to semantic attributes. The unseen input image is classified as belonging to an image class with a class label. A device is controlled based on the class label.
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公开(公告)号：US20190258888A1
公开(公告)日：2019-08-22
申请号：US16276076
申请日：2019-02-14
Applicant: HRL Laboratories, LLC
Inventor： Austin F. Garrido , Shankar R. Rao , Jose Cruz-Albrecht , Timothy J. Derosier
Abstract: Described is a system for bounding box generation. The system operates on an image comprised of pixels having a one-bit value per pixel. Bounding boxes are generated around connected components in the image, the connected components having pixel coordinate and pixel count information. A ranking score is generated for each bounding box based on the pixel coordinate and pixel count information. The bounding boxes are filtered to remove bounding boxes that exceed a predetermined size and pixel count based on the pixel coordinate and pixel count information. The bounding boxes are further filtered to remove bounding boxes that fall below a predetermined ranking score, resulting in remaining bounding boxes. Finally, a device can be controlled or otherwise operated based on the remaining bounding boxes.
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Patent Agency Ranking
公开(公告)号：US10262229B1
公开(公告)日：2019-04-16
申请号：US15272247
申请日：2016-09-21
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Narayan Srinivasa
Abstract: Described is a system for detecting multiple salient objects in an image using low power hardware. From consecutive pair of image frames of a set of input image frames, image channels are generated. The image channels are resized into multiple image scales that specify a relative size of a salient object in the image frames. A patch-based spectral transform is applied to overlapping image patches in the resized image channel, generating salient patches. Saliency patches are combined into a saliency map for each resized image channel, resulting in multiple saliency maps. The saliency maps are combined into an aggregate saliency map. An adaptive threshold is applied to the aggregate saliency map to determine which pixels in the aggregate saliency map correspond to a detected salient object region including a salient object. An object bounding box is generated for each salient object and output to a display.
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公开(公告)号：US10163220B2
公开(公告)日：2018-12-25
申请号：US15585032
申请日：2017-05-02
Applicant: HRL Laboratories, LLC
Inventor： Yongqiang Cao , Narayan Srinivasa , Shankar R. Rao
Abstract: Described is a system for compensating for ego-motion during video processing. The system generates an initial estimate of camera ego-motion of a moving camera for consecutive image frame pairs of a video of a scene using a projected correlation method, the camera configured to capture the video from a moving platform. An optimal estimation of camera ego-motion is generated using the initial estimate as an input to a valley search method or an alternate line search method. All independent moving objects are detected in the scene using the described hybrid method at superior performance compared to existing methods while saving computational cost.
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公开(公告)号：US20180307935A1
公开(公告)日：2018-10-25
申请号：US15946693
申请日：2018-04-05
Applicant: HRL Laboratories, LLC
Inventor： Shankar R. Rao , Andras Horvath
CPC classification number: G06K9/4671 , G06K9/00805 , G06K9/00825 , G08G1/13 , G08G1/164
Abstract: Described is a system for detecting salient objects in images. During operation, the system maps an input image into a frequency domain having a spectral magnitude. The spectral magnitude is replaced with weights from a weight matrix W. The frequency domain is then transformed with the weights to a saliency map in the image domain, the saliency map having pixels with pixel values. A squaring operation is then performed on the saliency map by squaring the pixel values to generate a pixel-value altered saliency map. A final saliency map is generated by filtering the pixel-value altered saliency map. A number of devices may then be operated based on the saliency map.
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公开(公告)号：US09230302B1
公开(公告)日：2016-01-05
申请号：US14204028
申请日：2014-03-11
Applicant: HRL Laboratories, LLC
Inventor： Yuri Owechko , Kang-Yu Ni , Shankar R. Rao
CPC classification number: G06T7/0022 , G06T1/0007 , G06T3/0012 , H03M7/3062
Abstract: Described is a system for foveated compressive sensing. The system is configured to receive an input image f of a scene and initialize a measurement matrix. Global measurements are then performed, with a lower resolution image of the scene thereafter reconstructed. Task salient regions are extracted from the low resolution image. Thereafter, the system estimates a task-specific operator and detects regions-of-interest (ROI) based on the task salient regions. An ROI-adapted and foveated measurement matrix is then generated. Local measurements are then performed on task-relevant ROIs. A higher resolution image can then be reconstructed of the scene to allow for identification of objects in the ROI.
Abstract translation: 描述了一种用于移动压缩感测的系统。 该系统被配置为接收场景的输入图像f并初始化测量矩阵。 然后执行全局测量，然后重建该场景的较低分辨率图像。 从低分辨率图像中提取任务显着区域。 此后，系统估计特定于任务的运营商并且基于任务突出区域检测感兴趣区域（ROI）。 然后生成ROI适应和移动的测量矩阵。 然后在任务相关的ROI上执行本地测量。 然后可以对场景重建更高分辨率的图像，以允许识别ROI中的对象。
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公开(公告)号：US10462365B1
公开(公告)日：2019-10-29
申请号：US14452807
申请日：2014-08-06
Applicant: HRL Laboratories, LLC
Inventor： Matthew S Keegan , Kang-Yu Ni , Shankar R. Rao
Abstract: A system and method for low power surveillance. The system receives a series of frames from a camera, each frame having a background and a foreground. A background template is generated. Thereafter, the system receives a new image frame of the scene, the new image frame having a background and a foreground. Potential regions of interest (ROI) are detected in the new image frame. Initial region descriptors are determined in the potential ROI in the foreground. The initial region descriptors are segmented to generate a segmented region. Region descriptors are re-determined from the segmented region. A contiguous sparse foreground is determined from the re-determined region descriptors, the contiguous sparse foreground being a contiguous ROI. The ROI is reconstructed using foveated compressive sensing to generate an image of an interesting object. Finally, the interesting object image is combined with the background template to reconstruct the foreground.
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