F3-G: Distributed Video Analytics and Anomaly Detection

نویسندگان

  • Ziyan Wu
  • Yuting Chen
چکیده

This project investigates the development of automated tools for video monitoring using multiple cameras in support of security applications. The project has both experimental and theoretical components. In Year 5, we focused on two problems of critical operational interest to surveillance and security in mass transit environments: the automatic, real-time detection of counterflow (e.g., passengers moving the wrong direction through a one-way exit lane) and the re-identification of humans in a wide-area network of non-overlapping surveillance cameras.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments

The analysis of sequential data is a prominent research topic, e. g., for investigating actions, events or log entries. This demonstration paper presents an integrated approach for anomaly analytics in an industrial production scenario. Based on first-order Markov chain models, we analyse sequential trails relative to specific hypotheses in an industrial application context. We summarize the ap...

متن کامل

Moving dispersion method for statistical anomaly detection in intrusion detection systems

A unified method for statistical anomaly detection in intrusion detection systems is theoretically introduced. It is based on estimating a dispersion measure of numerical or symbolic data on successive moving windows in time and finding the times when a relative change of the dispersion measure is significant. Appropriate dispersion measures, relative differences, moving windows, as well as tec...

متن کامل

OWLAP - using OLAP approach in anomaly detection

OWLAP (Operative Workbench for Large-scale Analytics and Presentation) is a visual analytics tool that allows the user to browse and drill down the multidimensional data on-line with the possibility to export result into a zooming presentation framework. We address the challenges of multidimensional visualization by aiding the cognitively hard task of understanding attributes, finding patterns ...

متن کامل

Regression-based Online Anomaly Detection for Smart Grid Data

With the widely used smart meters in the energy sector, anomaly detection becomes a crucial mean to study the unusual consumption behaviors of customers, and to discover unexpected events of using energy promptly. Detecting consumption anomalies is, essentially, a real-time big data analytics problem, which does data mining on a large amount of parallel data streams from smart meters. In this p...

متن کامل

Lost in Time: Temporal Analytics for Long-Term Video Surveillance

Video surveillance is a well researched area of study with substantial work done in the aspects of object detection, tracking and behavior analysis. With the abundance of video data captured over a long period of time, we can understand patterns in human behavior and scene dynamics through data-driven temporal analytics. In this work, we propose two schemes to perform descriptive and predictive...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012