Concept Drift Challenge in Multimedia Anomaly Detection: A Case Study with Facial Datasets

no code implementations • 27 Jul 2022 • Pratibha Kumari, Priyankar Choudhary, Pradeep K. Atrey, Mukesh Saini

In this paper, we systematically investigate the effect of concept drift on various detection models and propose a modified Adaptive Gaussian Mixture Model (AGMM) based framework for anomaly detection in multimedia data.

Anomaly Detection

Multimedia Datasets for Anomaly Detection: A Review

no code implementations • 10 Dec 2021 • Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini

Multimedia anomaly datasets play a crucial role in automated surveillance.

Anomaly Detection object-detection +1

An End-to-End Framework for Dynamic Crime Profiling of Places

no code implementations • 20 Nov 2021 • Shailendra Kumar Gupta, Shreyanshu Shekhar, Neeraj Goel, Mukesh Saini

It develops an automated framework that crawls online news articles, analyzes them, and extracts relevant information to create a crime knowledge base that gets dynamically updated in real-time.

sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos

no code implementations • 23 Sep 2019 • Mukesh Saini, Benjamin Guthier, Hao Kuang, Dwarikanath Mahapatra, Abdulmotaleb El Saddik

While viewing on a mobile device, a user can manually zoom into this high resolution video to get more detailed view of objects and activities.

Vocal Bursts Intensity Prediction