Performance Evaluation Of Video Surveillance System For Use In Automatic Recognition Application
Jase Liao, Jack Lee · 2021
Automatic Recognition image analysis plays a major role in supporting the advancement of modern safety and security protections. Correct and reliable detection of human and object in the video is one of the biggest challenges in the recognition system. This paper presents a systematic testing method to help evaluate the performance of the black box models used in machine learning systems. Computational image analysis technology and a standardized test plan are among of the best solutions to the video surveillance system used in recognition applications.