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1.发明公开公开(公告)号：US20240303828A1
公开(公告)日：2024-09-12
申请号：US18439200
申请日：2024-02-12
申请人： Axis AB
发明人： Niclas Danielsson , Markus Skans , Anton Öhrn
IPC分类号： G06T7/246
CPC分类号： G06T7/246 , G06T2207/10016 , G06T2207/20021
摘要： A method for selecting a crop score threshold for enhancing tracking of objects in a scene captured in a video sequence is disclosed. A respective track is obtained for two different objects, each track comprising crops of object instances of the objects in in a video sequence, each crop having a crop score and a feature vector. Each track is split into respective more tracklets thereby forming four or more tracklets. For each candidate crop score threshold a respective difference between each tracklet and each other tracklet is determined based on differences between feature vectors of crops having a crop score above the candidate crop score threshold of each tracklet, and each other tracklet. A crop score threshold is selected from the set of crop score thresholds resulting in a maximum difference between the differences between tracklets of different tracks and the differences between tracklets of the same track.
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2.发明授权公开(公告)号：US10832076B2
公开(公告)日：2020-11-10
申请号：US16208587
申请日：2018-12-04
申请人： Axis AB
发明人： Niclas Danielsson , Simon Molin , Markus Skans
摘要： A method and an image processing entity for applying a convolutional neural network to an image are disclosed. The image processing entity processes the image while using the convolutional kernel to render a feature map, whereby a second feature map size of the feature map is greater than a first feature map size of the feature maps with which the feature kernel was trained. Furthermore, the image processing entity repeatedly applies the feature kernel to the feature map in a stepwise manner, wherein the feature kernel was trained to identify the feature based on the feature maps of the first feature maps, wherein the feature kernel has the first feature map size.
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3.发明申请公开(公告)号：US20160343137A1
公开(公告)日：2016-11-24
申请号：US15157096
申请日：2016-05-17
申请人： Axis AB
发明人： Markus Skans , Björn Ardö , Igor Gurovski
CPC分类号： G06K19/0614 , G06K7/10722 , G06K7/1095 , G06K19/06028 , G06K19/06037 , G06T7/74 , G06T7/80 , G06T2207/30232 , G06T2207/30244 , H04M1/72522 , H04N7/181 , H04W4/025
摘要： A method and system for determining a position of a camera is disclosed. The method and system includes determining and registering geographical coordinates of a mobile device in the mobile device itself, presenting on a display of the mobile device a pattern representing the geographical coordinates of the mobile device, capturing by the camera an image of the display of the mobile device when presenting the geographical coordinates, translating in the camera the pattern in the captured image of the display of the mobile device into geographical coordinates, and determining in the camera the position of the camera based on the geographical coordinates translated from the pattern in the captured image.
摘要翻译： 公开了一种用于确定相机位置的方法和系统。 所述方法和系统包括确定和注册移动设备本身中的移动设备的地理坐标，在移动设备的显示器上呈现表示移动设备的地理坐标的图案，由相机拍摄显示器的显示的图像 移动设备在呈现地理坐标时，将相机中的移动设备的显示器的拍摄图像中的图案转换为地理坐标，以及在照相机中基于从图案中翻译的地理坐标确定相机的位置 捕获的图像。
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公开(公告)号：US11024039B2
公开(公告)日：2021-06-01
申请号：US16686240
申请日：2019-11-18
申请人： Axis AB
发明人： Niclas Danielsson , Markus Skans
摘要： In a method for tracking an object in video-monitoring scenes, multiple feature vectors are extracted (722) and assembled (724) in point clouds, wherein a point cloud may be assembled for each tracklet, i.e. for each separate part of a track. In order to determine if different tracklets relate to the same or different objects the point clouds of each tracklet is compared (734). Based on the outcome of the comparison it is deduced if the first object and the second object may be considered to be the same object and, if so, the first object is associated (738) with the second object.
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5.发明申请公开(公告)号：US20190188512A1
公开(公告)日：2019-06-20
申请号：US16208587
申请日：2018-12-04
申请人： Axis AB
发明人： Niclas Danielsson , Simon Molin , Markus Skans
摘要： A method and an image processing entity for applying a convolutional neural network to an image are disclosed. The image processing entity processes the image while using the convolutional kernel to render a feature map, whereby a second feature map size of the feature map is greater than a first feature map size of the feature maps with which the feature kernel was trained. Furthermore, the image processing entity repeatedly applies the feature kernel to the feature map in a stepwise manner, wherein the feature kernel was trained to identify the feature based on the feature maps of the first feature maps, wherein the feature kernel has the first feature map size.
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6.发明申请公开(公告)号：US20190087687A1
公开(公告)日：2019-03-21
申请号：US16123773
申请日：2018-09-06
申请人： Axis AB
发明人： Niclas Danielsson , Simon Molin , Markus Skans , Jakob Grundström
摘要： A method for finding one or more candidate digital images being likely candidates for depicting a specific object comprising: receiving an object digital image depicting the specific object; determining, using a classification subnet of a convolutional neural network, a class for the specific object depicted in the object digital image; selecting, based on the determined class for the specific object depicted in the object digital image, a feature vector generating subnet from a plurality of feature vector generating subnets; determining, by the selected feature vector generating subnet, a feature vector of the specific object depicted in the object digital image; locating one or more candidate digital images being likely candidates for depicting the specific object depicted in the object digital image by comparing the determined feature vector and feature vectors registered in a database, wherein each registered feature vector is associated with a digital image.
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公开(公告)号：US20190171910A1
公开(公告)日：2019-06-06
申请号：US15831638
申请日：2017-12-05
申请人： Axis AB
发明人： Niclas Danielsson , Markus Skans
CPC分类号： G06K9/6256 , G06K9/00771 , G06K9/4628 , G06K9/6202 , G06K9/66
摘要： Methods and apparatus, including computer program products, for creating a quality annotated training data set of images for training a quality estimating neural network. A set of images depicting a same object is received. The images in the set of images have varying image quality. A probe image whose quality is to be estimated is selected from the set of images. A gallery of images is selected from the set of images. The gallery of images does not include the probe image. The probe image is compared to each image in the gallery and a match score is generated for each image comparison. Based on the match scores, a quality value is determined for the probe image. The probe image and its associated quality value are added to a quality annotated training data set for the neural network.
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公开(公告)号：US09936217B2
公开(公告)日：2018-04-03
申请号：US14952051
申请日：2015-11-25
申请人： AXIS AB
IPC分类号： H04N19/503 , H04N19/119 , H04N19/61 , H04N19/124 , H04N19/137 , H04N19/177 , H04N19/17 , H04N19/167 , H04N19/85 , H04N19/172
CPC分类号： H04N19/503 , H04N19/119 , H04N19/124 , H04N19/137 , H04N19/167 , H04N19/17 , H04N19/172 , H04N19/177 , H04N19/61 , H04N19/85
摘要： A method and encoder for video encoding a sequence of frames is provided. The method comprises: receiving a sequence of frames depicting a moving object, predicting a movement of the moving object in the sequence of frames between a first time point and a second time point; defining, on basis of the predicted movement of the moving object, a region of interest (ROI) in the frames which covers the moving object during its entire predicted movement between the first time point and the second time point; and encoding a first frame, corresponding to the first time point, in the ROI and one or more intermediate frames, corresponding to time points being intermediate to the first and the second time point, in at least a subset of the ROI using a common encoding quality pattern defining which encoding quality to use in which portion of the ROI.
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公开(公告)号：US10373035B2
公开(公告)日：2019-08-06
申请号：US15157096
申请日：2016-05-17
申请人： Axis AB
发明人： Markus Skans , Björn Ardö , Igor Gurovski
摘要： A method and system for determining a position of a camera is disclosed. The method and system includes determining and registering geographical coordinates of a mobile device in the mobile device itself, presenting on a display of the mobile device a pattern representing the geographical coordinates of the mobile device, capturing by the camera an image of the display of the mobile device when presenting the geographical coordinates, translating in the camera the pattern in the captured image of the display of the mobile device into geographical coordinates, and determining in the camera the position of the camera based on the geographical coordinates translated from the pattern in the captured image.
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公开(公告)号：US20180165546A1
公开(公告)日：2018-06-14
申请号：US15840868
申请日：2017-12-13
申请人： Axis AB
发明人： Markus Skans , Niclas Danielsson
CPC分类号： G06K9/6255 , G06K9/6234 , G06K9/6256 , G06K9/6262 , G06N3/0454 , G06N3/08 , G06N3/084
摘要： A method, device and computer program product for training neural networks being adapted to process image data and output a vector of values forming a feature vector for the processed image data. The training is performed using feature vectors from a reference neural network as ground truth. A system of devices for tracking an object using feature vectors outputted by neural networks running on the devices.
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