relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4785/
title: AI-based video analysis for traffic monitoring
creator: Nguyễn, Hồng Thịnh
creator: Bùi, Sơn Tùng
creator: Phùng, Thế Ngọc
creator: Đỗ, Duy Thanh
subject: Electronics and Communications
description: Video data from these surveillance cameras is ex- tremely huge. When it requires extracting information about an object or event from the surveillance camera without knowing the exact time, it is very challenging to immediately identify it from billions of video frames. Thus, how to effectively extract information from video surveillance has a strategically important role in practical applications. In this paper, we introduce a system to manage and retrieve surveillance videos based on the indexing of moving objects. The system contains object detection and features extraction, video indexing, retrieval processing mechanism, and fast previewing. Specifically, this system uses information from moving objects to index video content. As a result, in the retrieval phase, the system allows both text- based query and image-based query mechanisms. The system performance are evaluated on traffic surveillance videos and got promising results.
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4785/1/2022190413.pdf
identifier:   Nguyễn, Hồng Thịnh and Bùi, Sơn Tùng and Phùng, Thế Ngọc and Đỗ, Duy Thanh   AI-based video analysis for traffic monitoring.  In: 2022 APSIPA Annual Summit and Conference, 7-10 November 2022, Chiang Mai, Thailand.