Unsupervised activity extraction on long-term video recordings employing soft computing relations

Authors:
Luis Patino;Murray Evans;James Ferryman;François Bremond;Monique Thonnat
Affiliations:
INRIA Sophia Antipolis - Méditerranée, Sophia Antipolis, France;School of Systems Engineering, University of Reading, United Kingdom;School of Systems Engineering, University of Reading, United Kingdom;INRIA Sophia Antipolis - Méditerranée, Sophia Antipolis, France;INRIA Sophia Antipolis - Méditerranée, Sophia Antipolis, France
Venue:
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Year:
2011

Citing 11
Cited 0

A fuzzy video content representation for video summarization and content-based retrieval

Signal Processing - Special issue on fuzzy logic in signal processing
Learning Patterns of Activity Using Real-Time Tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Activity and Location Recognition Using Wearable Sensors

IEEE Pervasive Computing
Event Classification for Automatic Visual-based Surveillance of Parking Lots

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Video Behaviour Profiling and Abnormality Detection without Manual Labelling

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Efficient adaptive density estimation per image pixel for the task of background subtraction

Pattern Recognition Letters
Single camera calibration for trajectory-based behavior analysis

AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
An iterative image registration technique with an application to stereo vision

IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Similarity relations and fuzzy orderings

Information Sciences: an International Journal
Event Model Learning from Complex Videos using ILP

Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work we present a novel approach for activity extraction and knowledge discovery from video employing fuzzy relations. Spatial and temporal properties from detected mobile objects are modeled with fuzzy relations. These can then be aggregated employing typical soft-computing algebra. A clustering algorithm based on the transitive closure calculation of the fuzzy relations allows finding spatio-temporal patterns of activity. We present results obtained on videos corresponding to different sequences of apron monitoring in the Toulouse airport in France.