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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.