公开(公告)号：US10832076B2

公开(公告)日：2020-11-10

申请号：US16208587

申请日：2018-12-04

Applicant: Axis AB

Inventor： Niclas Danielsson ,  Simon Molin ,  Markus Skans

IPC: G06K9/32 ,  G06K9/48 ,  G06T7/00 ,  G06K9/62 ,  G06T7/44 ,  G06N3/08 ,  G06N3/04 ,  G06K9/46

Abstract: 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.

公开(公告)号：US10691949B2

公开(公告)日：2020-06-23

申请号：US15812685

申请日：2017-11-14

Applicant: Axis AB

Inventor： Niclas Danielsson ,  Simon Molin

IPC: G06K9/00 ,  G06K9/68 ,  G06K9/32

Abstract: A method and system for action recognition in a video sequence is disclosed. The system comprises a camera configured to capture the video sequence and a server configured to perform action recognition. The camera comprises an object identifier that identifies an object of interest in an object image frame of the video sequence; an action candidate recognizer configured to apply a first action recognition algorithm to the object image frame to detect presence of an action candidate; an video extractor configured to produce action image frames of an action video sequence by extracting video data pertaining to a plurality of image frames from the video sequence; and a network interface configured to transfer the action video sequence to the server. The server comprises an action verifier configured to apply a second action recognition algorithm to the action video sequence to verify or reject that the action candidate is an action.

公开(公告)号：US10510234B2

公开(公告)日：2019-12-17

申请号：US15851494

申请日：2017-12-21

Applicant: AXIS AB

Inventor： Niclas Danielsson ,  Simon Molin

IPC: G06K9/00 ,  G08B13/196 ,  H04N7/18 ,  G06K9/62 ,  G06K9/32

Abstract: A method for generating an alert signal in a surveillance system comprising: detecting a targeted individual in a video stream, selecting the targeted individual, and tracking the targeted individual, as first steps. The method also comprises classifying actions of the detected individual over a plurality of image frames in the video stream in response to the identification of the detected object as being a targeted person, and generating an alert signal if the classified action of the object is classified as a predefined alert-generating action.

公开(公告)号：US20190130197A1

公开(公告)日：2019-05-02

申请号：US16166955

申请日：2018-10-22

Applicant: Axis AB

Inventor： Xing Danielsson Fan ,  Niclas Danielsson ,  Anton Jakobsson ,  Emanuel Johansson ,  Thomas Winzell ,  Jesper Bengtsson

IPC: G06K9/00 ,  G08B13/196 ,  H04N5/33 ,  H04N19/167 ,  H04N7/18

Abstract: A method and a controller for controlling a video processing unit to facilitate detection of newcomers in a first environment. The method comprises: capturing a thermal image of a human object in the first environment, the first environment being associated with a first climate; calculating, based on the thermal image, a thermal signature of a portion of the human object; determining that the human object has entered the first environment from a second environment when the thermal signature of the portion of the human object deviates from a predetermined thermal signature associated with the first environment, wherein the second environment is associated with a second, different, climate; and controlling the video processing unit to prioritize the human object over other human objects when processing video frames depicting the human object together with the other human objects.

公开(公告)号：US20170134739A1

公开(公告)日：2017-05-11

申请号：US15344079

申请日：2016-11-04

Applicant: Axis AB

Inventor： Xing Danielsson Fan ,  Niclas Danielsson

IPC: H04N19/426 ,  H04N19/176 ,  H04N13/00 ,  G06K9/52 ,  H04N19/136 ,  H04N19/182 ,  G06K9/62

CPC classification number: H04N19/426 ,  G06K9/52 ,  G06K9/6201 ,  H04N13/161 ,  H04N19/136 ,  H04N19/137 ,  H04N19/139 ,  H04N19/176 ,  H04N19/182 ,  H04N19/597

Abstract: Described is a method and apparatus for controlling a degree of compression of a digital image, and more specifically to such method and apparatus which receives a stereoscopic digital image, and controls a degree of compression of the digital image based on block matching characteristics between the two images of the stereoscopic digital image.

公开(公告)号：US12094236B2

公开(公告)日：2024-09-17

申请号：US17038528

申请日：2020-09-30

Applicant: Axis AB

Inventor： Markus Skans ,  Christian Colliander ,  Martin Ljungqvist ,  Willie Betschart ,  Niclas Danielsson

IPC: G06V10/80 ,  G06F18/214 ,  G06F18/22 ,  G06N3/045 ,  G06T5/50 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/00 ,  G06V40/10 ,  G06V40/20

CPC classification number: G06V40/107 ,  G06F18/214 ,  G06F18/22 ,  G06N3/045 ,  G06T5/50 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/52 ,  G06V40/23

Abstract: A method of object re-identification in images of objects comprises providing a plurality of neural networks for object re-identification, wherein each of the plurality of neural networks is trained on image data with different sets of anatomical features, each set being represented by a reference vector; receiving a plurality of images of objects and an input vector representing anatomical features that are depicted in all of the plurality of images; comparing the input vector with the reference vectors for determining, according to a predefined condition, the most similar reference vector; and inputting image data of the plurality of objects to the neural network represented by the most similar reference vector for determining whether the plurality of objects have the same identity.

公开(公告)号：US20230360360A1

公开(公告)日：2023-11-09

申请号：US18312126

申请日：2023-05-04

Applicant: Axis AB

Inventor： Anton ÖHRN ,  Markus Skans ,  Niclas Danielsson

IPC: G06V10/44

CPC classification number: G06V10/443

Abstract: The present disclosure generally relates to a method for weighting of features in a feature vector of an object detected in a video stream capturing a scene, comprising: determining a feature vector comprising a set of features for a detected object in the video stream; acquiring a reference feature vector of a reference model of the scene; and assigning a weight to at least one feature of the determined feature vector, wherein the weight for a feature of the determined feature vector depends on a deviation measure indicative of a degree of deviation of the feature from a corresponding feature of the acquired reference feature vector of the reference model.

公开(公告)号：US20230360235A1

公开(公告)日：2023-11-09

申请号：US18307503

申请日：2023-04-26

Applicant: Axis AB

Inventor： Niclas Danielsson ,  Axel Keskikangas ,  Håkan Ardö

IPC: G06T7/246 ,  G08B13/196

CPC classification number: G06T7/248 ,  G08B13/19602 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30232

Abstract: A plurality of feature vectors for moveable objects are received in a sequence of image frames captured during a first period. The feature vectors are received from a machine learning module trained to extract similar feature vectors in different image frames. An initial value is assigned to a first feature vector , or to a cluster of feature vectors identified in a second sequence of image frames preceding the first image frame. The indicator indicates whether vector is alive. For each subsequent image frame , the indicator is updated by: updating the value based on a similarity between the feature vector and the first feature vector or the cluster of feature vectors. If the value of the indicator indicates that the vector is alive, determining that there is a moveable object that is located in the captured scene at least the predetermined portion of the given period of time.

公开(公告)号：US11627318B2

公开(公告)日：2023-04-11

申请号：US17523280

申请日：2021-11-10

Applicant: Axis AB

Inventor： Niclas Danielsson ,  Xing Danielsson Fan

IPC: G06T7/194 ,  H04N19/119 ,  H04N19/137 ,  H04N19/162 ,  H04N19/176 ,  G06T7/215 ,  G06V20/52 ,  H04N7/01 ,  G06F18/24 ,  G06F18/40 ,  H04N7/18

Abstract: Methods, systems and computer program products, for producing streams of image frames. Image frames in streaming video are segmented into background segments and instance segments. A background image frame containing the background segments is created. At least some of the instance segments are classified into movable objects of interest and movable objects of non-interest. During a background update time period, the background image frame is updated when a movable object of non-interest has moved to reveal a background area, to include the revealed background area in the background image frame. A foreground image containing the movable objects of interest is created. Blocks of pixels of the updated background and foreground image frames are encoded. A stream of encoded foreground image frames having a first frame rate is produced. A stream of encoded updated background image frames a second, lower frame rate is produced.

公开(公告)号：US10956781B2

公开(公告)日：2021-03-23

申请号：US15840868

申请日：2017-12-13

Applicant: Axis AB

Inventor： Markus Skans ,  Niclas Danielsson

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04

Abstract: 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.