Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

Authors:
Amit Adam;Ehud Rivlin;Ilan Shimshoni;Daviv Reinitz
Affiliations:
-;-;-;-
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
2008

Citing 0
Cited 42

State-of-the-art on spatio-temporal information-based video retrieval

Pattern Recognition
Unsupervised Pedestrian Re-identification for Loitering Detection

PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Digital Video Event Detector Framework for Surveillance Applications

AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Mining from large image sets

Proceedings of the ACM International Conference on Image and Video Retrieval
Event monitoring via local motion abnormality detection in non-linear subspace

Neurocomputing
Detection of user-defined, semantically high-level, composite events, and retrieval of event queries

Multimedia Tools and Applications
Cooperative object tracking and composite event detection with wireless embedded smart cameras

IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Dense spatio-temporal features for non-parametric anomaly detection and localization

Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Abnormality detection using low-level co-occurring events

Pattern Recognition Letters
A macro-observation scheme for abnormal event detection in daily-life video sequences

EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Automatic workflow monitoring in industrial environments

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Visual sensor networks for infomobility

Pattern Recognition and Image Analysis
Motion pattern extraction and event detection for automatic visual surveillance

Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Detecting anomalies in people's trajectories using spectral graph analysis

Computer Vision and Image Understanding
Leveraging human behavior models to predict paths in indoor environments

Pervasive and Mobile Computing
Multicamera video summarization from optimal reconstruction

ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Event detection based on a pedestrian interaction graph using hidden Markov models

PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Unsupervised fast anomaly detection in crowds

MM '11 Proceedings of the 19th ACM international conference on Multimedia
Dynamic texture reconstruction from sparse codes for unusual event detection in crowded scenes

J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Multi-scale and real-time non-parametric approach for anomaly detection and localization

Computer Vision and Image Understanding
Abnormal crowd behavior detection by social force optimization

HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
2011 Special Issue: Online classification of visual tasks for industrial workflow monitoring

Neural Networks
A visual sensing platform for creating a smarter multi-modal marine monitoring network

Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Exploratory search of long surveillance videos

Proceedings of the 20th ACM international conference on Multimedia
Knowledge adaptation for ad hoc multimedia event detection with few exemplars

Proceedings of the 20th ACM international conference on Multimedia
Real time image analysis for infomobility

MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
CYKLS: detect pedestrian's dart focusing on an appearance change

ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection

ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
Abnormal event detection in crowded scenes using sparse representation

Pattern Recognition
Efficient and effective automated surveillance agents using kernel tricks

Simulation
We are not equally negative: fine-grained labeling for multimedia event detection

Proceedings of the 21st ACM international conference on Multimedia
Abnormal crowd behavior detection and localization using maximum sub-sequence search

Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Visual abnormal behavior detection based on trajectory sparse reconstruction analysis

Neurocomputing
An on-line, real-time learning method for detecting anomalies in videos using spatio-temporal compositions

Computer Vision and Image Understanding
Multicamera video summarization and anomaly detection from activity motifs

ACM Transactions on Sensor Networks (TOSN)
Anomaly detection in large-scale data stream networks

Data Mining and Knowledge Discovery
Video genre classification using weighted kernel logistic regression

Advances in Multimedia - Special issue on Multimedia Applications for Smart Device in Ubiquitous Environments
Sparse representation for robust abnormality detection in crowded scenes

Pattern Recognition
E-LAMP: integration of innovative ideas for multimedia event detection

Machine Vision and Applications
On hierarchical modelling of motion for workflow analysis from overhead view

Machine Vision and Applications
Online detection of abnormal events in video streams

Journal of Electrical and Computer Engineering

Quantified Score

Hi-index	0.14

Visualization

Abstract

We present a novel algorithm for detection of certain types of unusual events. The algorithm is based on multiple local monitors which collect low-level statistics. Each local monitor produces an alert if its current measurement is unusual, and these alerts are integrated to a final decision regarding the existence of an unusual event. Our algorithm satisfies a set of requirements that are critical for successful deployment of any large-scale surveillance system. In particular it requires a minimal setup (taking only a few minutes) and is fully automatic afterwards. Since it is not based on objects' tracks, it is robust and works well in crowded scenes where tracking-based algorithms are likely to fail. The algorithm is effective as soon as sufficeint low-level observations representing the routine activity have been collected, which usually happens after a few minutes. Our algorithm runs in realtime. It was tested on a variety of real-life crowded scenes. A ground-truth was extracted for these scenes, with respect to which detection and false-alarm rates are reported.