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公开(公告)号：US20250014190A1
公开(公告)日：2025-01-09
申请号：US18762342
申请日：2024-07-02
Applicant: Axis AB
Inventor： Aras PAPADELIS , Niclas DANIELSSON
Abstract: A method detects one or more occluded areas of a scene analysed by an object tracking system. The method includes building a map of one or more occluded areas in a scene. Building the map comprises running a re-identification algorithm on a video sequence to try to resume a lost object track. If the object track is successfully resumed, the method includes determining an area of the scene where the first object track is lost and an area of the scene where the first object track is resumed. A connection between the first and the second area of the scene is added the map such that the map identifies that an object track being lost in the first area of the scene has been resumed in the second area of the scene.
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公开(公告)号：US20240386579A1
公开(公告)日：2024-11-21
申请号：US18616830
申请日：2024-03-26
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Christian Colliander , Amanda Nilsson , Sarah Laross
Abstract: A method for prioritizing feature extraction for object re-identification in an object tracking application. Region of interests (ROI) for object feature extraction is determined based on motion areas in the image frame. Each object detected in an image frame and which is at least partly overlapping with a ROI is associated with the ROI. A list of candidate objects for feature extraction is determined by, for each ROI associated with two or more objects: adding each object of the two or more objects that is not overlapping with any of the other objects among the two or more objects with more than a threshold amount. From the list of candidate objects, at least one object is selected, and image data of the image frame depicting the selected object is used for determining a feature vector for the selected object.
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公开(公告)号：US20210142149A1
公开(公告)日：2021-05-13
申请号：US17038528
申请日：2020-09-30
Applicant: Axis AB
Inventor： Markus SKANS , Christian COLLIANDER , Martin LJUNGQVIST , Willie BETSCHART , Niclas DANIELSSON
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.
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公开(公告)号：US20230086993A1
公开(公告)日：2023-03-23
申请号：US17864400
申请日：2022-07-14
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Xing Danielsson FAN , Axel KESKIKANGAS
Abstract: A method of generating a segmentation outcome which indicates individual instances of one or more object classes for an image in a sequence of images is disclosed. The method comprises: determining (501) a coherent region of the image; processing (502) the image to determine a tensor representing pixel-specific confidence scores; generating (503) a series of temporary segmentation masks for the coherent region, wherein each temporary segmentation mask is generated by interpreting the tensor with respect to a single object class using a different temporary confidence score threshold; evaluating (504) the series of temporary segmentation masks to determine if an object mask condition is met; depending on the outcome of the evaluation, setting (505) the temporary confidence score threshold as a final confidence score threshold for the pixels of the temporary segmentation mask, or setting (505) a default confidence score threshold as a final confidence score threshold for the coherent region; and generating (506) a final segmentation outcome for the image.
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公开(公告)号：US20230075041A1
公开(公告)日：2023-03-09
申请号：US17886662
申请日：2022-08-12
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Xing DANIELSSON FAN
Abstract: A method of transmitting an image stream together with color metadata is disclosed. The method comprises capturing image frames of a first image stream, capturing image frames of a second image stream, using camera settings for prioritizing color capture, detecting an object in a first image frame of the first image stream and determining color information associated with the object based on the second image stream. The method further comprises adding the color information as color metadata to the first image stream, encoding the first image stream, and transmitting the encoded first image stream together with the color metadata. A corresponding device is also disclosed.
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Patent Agency Ranking
公开(公告)号：US20240404083A1
公开(公告)日：2024-12-05
申请号：US18653343
申请日：2024-05-02
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Anton ÖHRN
Abstract: A method of detecting a change of ratio of occlusion of a tracked object in a video sequence. For each of a plurality of image frames, a bounding box of the tracked object is determined and for each pair of successive image frames, an intersection over union (IoU) of a first bounding box in a first image frame and a second bounding box in a second image frame is calculated. Similarly, for a further pair of successive image frames, a further IoU of a first bounding box in a first image frame of the further pair of successive image frames and a second bounding box in a second image frame of the further pair of successive image frames is calculated. If the further IoU differs from the calculated IoUs by more than a threshold amount, the ratio of occlusion of the tracked object has changed.
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公开(公告)号：US20240386611A1
公开(公告)日：2024-11-21
申请号：US18656981
申请日：2024-05-07
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Felix Lundström , Johan Modin
Abstract: A method, system and software for searching for an object in a forensic search application comprises: determining a plurality of static areas in the scene; obtaining a first image depicting the scene comprising an object; determining a plurality of candidate color transforms; determining a plurality of candidate color values of the object by applying each of the plurality of candidate color transform to third pixel data from the first image, said third pixel data depicting the object in the first image; searching for an object in a forensic search application using a search request comprising a first color value; determining that the first color value matches one or more candidate color values; and returning a search response based at least in part on the object.
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公开(公告)号：US20230368528A1
公开(公告)日：2023-11-16
申请号：US18129910
申请日：2023-04-03
Applicant: Axis AB
Inventor： Xing Danielsson FAN , Niclas DANIELSSON
IPC: G06V20/40
CPC classification number: G06V20/40 , G06V2201/10
Abstract: A method and a device for setting a value of an object property in a sequence of metadata frames corresponding to a sequence of video frames is provided. An object is detected in a plurality of video frames. For a temporally first video frame a first value of an object property is determined and the object property is set to have the first value in a metadata frame corresponding to the first video frame. For each subsequent video frame, a subsequent value of the object property is determined and a deviation is calculated with respect to a value of the object property that was last set in a metadata frame. If the deviation exceeds a non-zero threshold, the object property is set to have the subsequent value in a metadata frame corresponding to the subsequent video frame. Otherwise no value of the object property is set in that metadata frame.
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9.发明申请公开(公告)号：US20250005907A1
公开(公告)日：2025-01-02
申请号：US18734165
申请日：2024-06-05
Applicant: Axis AB
Inventor： Niclas DANIELSSON , Amanda NILSSON , Christian COLLIANDER , Sarah LAROSS
IPC: G06V10/77 , G06T3/4038 , G06V10/82
Abstract: A method for feature extraction of detected objects, comprising the steps of: receiving a plurality of images, each depicting an object detected by the object detecting application; concatenating the plurality of images into a composite image according to a grid pattern; feeding the composite image through a convolutional neural network (CNN) trained for feature extraction, wherein each convolutional layer of the CNN is configured to, while convolving input data to the convolutional layer using a convolutional filter: determine a currently convolved image of the plurality of images by determining a centre coordinate of a subset of the input data currently covered by the convolutional filter, and mapping the centre coordinate to the grid pattern; and selectively nullifying all weights of the convolutional filter that cover input data derived from any of the plurality of images not being the currently convolved image.
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10.发明公开公开(公告)号：US20240007299A1
公开(公告)日：2024-01-04
申请号：US18142582
申请日：2023-05-03
Applicant: Axis AB
Inventor： Xing Danielsson FAN , Niclas DANIELSSON
CPC classification number: H04L9/3247 , G06T7/70 , G06V2201/07 , H04L9/0825 , H04L9/3236 , G06V10/25
Abstract: A device, a non-transitory computer-readable storage medium, and a method of signing a metadata frame corresponding to an image frame of a sequence of image frames are disclosed. The metadata frame comprises metadata of one or more detected objects in the image frame, and the metadata of each detected object comprises coordinates defining a location in the image frame of the detected object. A digital signature is generated based on at least a subset of the metadata in the metadata frame, and additional metadata are added to the metadata frame. The additional metadata comprise the digital signature and predefined coordinates which define that the additional metadata comprise the digital signature. Furthermore, a device, a non-transitory computer-readable storage medium, and method of authenticating a digitally signed metadata frame corresponding to an image frame of a sequence of image frames are disclosed.
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