Webinar のお知らせ (2020/8/11)

Webinar のご案内

IEEE 札幌支部主催、IEEE 札幌支部 WIE共催の Webinar を下記の通り開催いたします。

研究者・学生の皆様にできるだけ多くご参加いただけますようお願い申し上げます。

開催概要

<学術講演会>

日 時: 2020年8月11日(火曜日) 17:00~18:00（質疑時間含む）

会 場: Cisco Webex Meeting を利用したオンライン開催

接続URL

ミーティング番号 (アクセスコード): 130 299 9423

ミーティングパスワード: HBydbmqP387

演 題: Video Anomaly Detection for Intelligent Surveillance System

講 師: Supavadee Aramvith 先生

Associate Professor in Electrical Engineering, Chulalongkorn University

Candidate for 2021-2022 IEEE Region 10 Director-Elect

概 要: Video anomaly detection has widely gained popularity for intelligent surveillance systems in recent years. Most works have struggled with challenging tasks such as detecting and localizing objects in complex and crowded scenes, especially with the object localization in a pixel-level evaluation. In fact, they can achieve either frame-level anomaly detection or pixel-level anomaly localization in some complex scenes. In this talk, we will present and discuss our proposed framework based on Deep Spatiotemporal Translation Network (DSTN), novel unsupervised anomaly detection and localization method based on Generative Adversarial Network (GAN) and Edge Wrapping (EW). Our DSTN has been tested on publicly available anomaly datasets, including UCSD pedestrian, UMN, and CUHK Avenue. The results show that it outperforms other state-of-the-art algorithms with respect to the frame-level evaluation, the pixel-level evaluation, and the time complexity for abnormal object detection and localization tasks.

主催: IEEE 札幌支部

共催: IEEE 札幌支部 WIE