Title

Euclidean Path Modeling From Ground And Aerial Views

Abstract

We address the issue of Euclidean path modeling in a single camera for activity monitoring in a multi-camera video surveillance system. The paper proposes a novel linear solution to auto-calibtate any camera observing pedestrians and uses these calibrated cameras to detect unusual object behavior. The input trajectories are metric rectified and 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

10-11-2007

Publication Title

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/CVPR.2007.383508

Socpus ID

34948889967 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34948889967

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