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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:US20230344961A1
公开(公告)日:2023-10-26
申请号:US18186239
申请日:2023-03-20
Applicant: Axis AB
Inventor: Hanna BJÖRGVINSDÓTTIR , Markus SKANS , Amanda TYDÉN
Abstract: A method for prioritization of video processing resources in a video processing and/or management system is provided. The method includes receiving video streams from multiple cameras and automatically ranking each camera as either a higher-priority or lower-priority camera. For higher-priority cameras, video content analysis is performed (as background processes), and the result is stored in storage. For lower-priority cameras, no such analysis is performed. The ranking is based on at least one of a historical usability, a historical cost, and a historical usability-to-cost ratio of a camera. A corresponding camera monitoring system, video processing and/or management system, computer program and computer program product are also provided.
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公开(公告)号:US20140334676A1
公开(公告)日:2014-11-13
申请号:US14273181
申请日:2014-05-08
Applicant: Axis AB
Inventor: Markus SKANS , Anders Johannesson , Jiandan Chen , Joakim Baltsen
CPC classification number: G06K9/00771 , G06K9/00369 , G06K9/2036 , G06K9/2054 , G06K9/6201 , G06T7/292 , G06T2207/10016 , G06T2207/20112 , G06T2207/30196 , G06T2207/30232 , G08B13/19652 , G08B13/19686
Abstract: A method of monitoring a scene by a camera (7) comprises marking a part (14) of the scene with light having a predefined spectral content and a spatial verification pattern. An analysis image is captured of the scene by a sensor sensitive to the predefined spectral content. The analysis image is segmented based on the predefined spectral content, to find a candidate image region. A spatial pattern is detected in the candidate image region, and a characteristic of the detected spatial pattern is compared to a corresponding characteristic of the spatial verification pattern. If the characteristics match, the candidate image region is identified as a verified image region corresponding to the marked part (14) of the scene. Image data representing the scene is obtained, and image data corresponding to the verified image region is processed in a first manner, and remaining image data is processed in a second manner.
Abstract translation: 通过照相机(7)监视场景的方法包括用具有预定的频谱内容和空间验证模式的光标记场景的一部分(14)。 通过对预定义的光谱内容敏感的传感器捕获场景的分析图像。 分析图像基于预定义的光谱内容被分割,以找到候选图像区域。 在候选图像区域中检测空间图案,并将检测到的空间图案的特性与空间验证图案的相应特征进行比较。 如果特征匹配,则候选图像区域被识别为对应于场景的标记部分(14)的验证图像区域。 获取表示场景的图像数据,并且以第一方式处理与经验证的图像区域相对应的图像数据,并且以第二方式处理剩余的图像数据。
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