Title

Using Calibrated Camera For Euclidean Path Modeling

Keywords

Camera calibration; Euclidean path modeling; Image registration; Machine vision

Abstract

In this paper, we address the issue of Euclidean path modeling in a single camera for activity monitoring in a multicamera video surveillance system.. The paper proposes to use calibrated cameras to detect unusual object behavior. During the unsupervised training phase, after metric rectifying the input trajectories, the input sequences are registered to the satellite imagery and prototype path models are constructed. During the testing phase, using our simple yet efficient similarity measures, we seek a relation between the input trajectories derived from, a sequence and the prototype path models. Real-world pedestrian sequences are used to demonstrate the practicality of the proposed method. © 2007 IEEE.

Publication Date

12-1-2006

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

3

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2007.4379282

Socpus ID

48149113821 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/48149113821

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