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Proceedings Paper

Real-time 3D target tracking and localization for arbitrary camera geometries
Author(s): Ashutosh P. Kulkarni; Glen P. Abousleman; Jennie Si
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Paper Abstract

In this paper, we present a real-time 3-D tracking system which using two cameras with substantially arbitrary geometries. The primary goal of the proposed system is to capture incoming stereo vision feeds, examine and compare targets across the cameras, and using a derived camera calibration matrix, project them in real-world 3-D coordinates, in real time. The system is divided into two main components: Camera calibration, and tracking and cross-camera object matching. In the proposed system, algorithms such as 8-point feature matching form the basis for the camera calibration/pose estimation mechanism, while color histogram forms a robust feature for tracking across-camera The proposed system is robust and applicable to heterogeneous moving objects such as people, vehicles, and boats.

Paper Details

Date Published: 7 May 2007
PDF: 11 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671K (7 May 2007); doi: 10.1117/12.720064
Show Author Affiliations
Ashutosh P. Kulkarni, Arizona State Univ. (United States)
Glen P. Abousleman, General Dynamics Decision Systems (United States)
Jennie Si, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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