Single camera calibration for trajectory-based behavior analysis

Authors:
N. Anjum;A. Cavallaro
Affiliations:
Multimedia and Vision Group, Queen Mary, University of London, Mile End Road, E1 4NS, UK;Multimedia and Vision Group, Queen Mary, University of London, Mile End Road, E1 4NS, UK
Venue:
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2007

Citing 0
Cited 2

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

ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Camera localization in distributed networks using trajectory estimation

Journal of Electrical and Computer Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Perspective deformations on the image plane make the analysis of object behaviors difficult in surveillance video. In this paper, we improve the results of trajectory-based scene analysis by using single camera calibration for perspective rectification. First, the ground-plane view is estimated from perspective images captured from a single camera. Next, unsupervised fuzzy clustering is applied on the transformed trajectories to group similar behaviors and to isolate outliers. We evaluate the proposed approach on real outdoor surveillance scenarios with standard datasets and show that perspective rectification improves the accuracy of the trajectory clustering results.