Video surveillance and multimedia forensics: an application to trajectory analysis

Authors:
Simone Calderara;Andrea Prati;Rita Cucchiara
Affiliations:
University of Modena and Reggio Emilia, Modena, Italy;University of Modena and Reggio Emilia, Reggio Emilia, Italy;University of Modena and Reggio Emilia, Modena, Italy
Venue:
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Year:
2009

Citing 6
Cited 1

W4: Real-Time Surveillance of People and Their Activities

IEEE Transactions on Pattern Analysis and Machine Intelligence
View Invariance for Human Action Recognition

International Journal of Computer Vision
Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)
A framework for a video analysis tool for suspicious event detection

Multimedia Tools and Applications
Bayesian-Competitive Consistent Labeling for People Surveillance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting moving objects, ghosts, and shadows in video streams

IEEE Transactions on Pattern Analysis and Machine Intelligence

A videosurveillance data browsing software architecture for forensics: from trajectories similarities to video fragments

Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper reports an example of application (i.e., trajectory analysis) in which forensics and video surveillance techniques are jointly employed for providing a new tool of multimedia forensics. Advanced video surveillance techniques are used to extract from a multi-camera system the trajectories of the moving people which are then modelled by either their positions (projected on the ground plane) or their directions of movement. These two representations can be useful for querying large video repositories, by searching for similar trajectories in terms of either sequences of positions or trajectory shape (encoded as sequence of angles, where positions do not care). Preliminary examples of the possible use of this approach are shown.