公开(公告)号：US10579880B2

公开(公告)日：2020-03-03

申请号：US15693339

申请日：2017-08-31

Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

Inventor： Rahman Khorsandi ,  Jun Amano

IPC: G06K9/00 ,  G06K9/62 ,  H04N7/18 ,  G06K9/52 ,  G08B13/196

Abstract: A video surveillance system with real-time object re-identification capabilities, which employs an object re-identification algorithm and an edge computing architecture. An operator monitors video images from the multiple cameras, and when a target object is observed, a target image containing the object is transmitted to all video cameras for object re-identification. Each video camera has dedicated processing circuitry that performs an object re-identification algorithm to identify the target in video images captured by that camera in real time. The algorithm calculates a frequency domain similarity measure between the target image and test images captured by the camera. The similarity measure in the frequency domain is calculated as a dot product of the 1D discrete Fourier transforms of the target image data and of the test image data. The multiple cameras also transmit object re-identification results to each other to achieve more efficient and intelligent object re-identification.

公开(公告)号：US20190065858A1

公开(公告)日：2019-02-28

申请号：US15693339

申请日：2017-08-31

Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

Inventor： Rahman Khorsandi ,  Jun Amano

IPC: G06K9/00 ,  G06K9/62 ,  H04N7/18

CPC classification number: G06K9/00771 ,  G06K9/6215 ,  G06K9/6232 ,  G08B13/19645 ,  H04N7/181

Abstract: A video surveillance system with real-time object re-identification capabilities, which employs an object re-identification algorithm and an edge computing architecture. An operator monitors video images from the multiple cameras, and when a target object is observed, a target image containing the object is transmitted to all video cameras for object re-identification. Each video camera has dedicated processing circuitry that performs an object re-identification algorithm to identify the target in video images captured by that camera in real time. The algorithm calculates a frequency domain similarity measure between the target image and test images captured by the camera. The similarity measure in the frequency domain is calculated as a dot product of the 1D discrete Fourier transforms of the target image data and of the test image data. The multiple cameras also transmit object re-identification results to each other to achieve more efficient and intelligent object re-identification.