Invention Grant
- Patent Title: Real-time object re-identification in a multi-camera system using edge computing
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Application No.: US15693339Application Date: 2017-08-31
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Publication No.: US10579880B2Publication Date: 2020-03-03
- Inventor: Rahman Khorsandi , Jun Amano
- Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
- Applicant Address: US CA San Mateo
- Assignee: KONICA MINOLTA LABORATORY U.S.A., INC.
- Current Assignee: KONICA MINOLTA LABORATORY U.S.A., INC.
- Current Assignee Address: US CA San Mateo
- Agency: Chen Yoshimura LLP
- Main IPC: G06K9/00
- 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.
Public/Granted literature
- US20190065858A1 REAL-TIME OBJECT RE-IDENTIFICATION IN A MULTI-CAMERA SYSTEM USING EDGE COMPUTING Public/Granted day:2019-02-28
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