14 March 2005 Cooperative multisensor system for real-time face detection and tracking in uncontrolled conditions
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Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005); doi: 10.1117/12.588430
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
The presented work describes an innovative architecture for multi-sensor distributed video surveillance applications. The aim of the system is to track moving objects in outdoor environments with a cooperative strategy exploiting two video cameras. The system also exhibits the capacity of focusing its attention on the faces of detected pedestrians collecting snapshot frames of face images, by segmenting and tracking them over time at different resolution. The system is designed to employ two video cameras in a cooperative client/server structure: the first camera monitors the entire area of interest and detects the moving objects using change detection techniques. The detected objects are tracked over time and their position is indicated on a map representing the monitored area. The objects’ coordinates are sent to the server sensor in order to point its zooming optics towards the moving object. The second camera tracks the objects at high resolution. As well as the client camera, this sensor is calibrated and the position of the object detected on the image plane reference system is translated in its coordinates referred to the same area map. In the map common reference system, data fusion techniques are applied to achieve a more precise and robust estimation of the objects’ track and to perform face detection and tracking. The work novelties and strength reside in the cooperative multi-sensor approach, in the high resolution long distance tracking and in the automatic collection of biometric data such as a person face clip for recognition purposes.
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Luca Marchesotti, Stefano Piva, Andrea Turolla, Deborah Minetti, Carlo S. Regazzoni, "Cooperative multisensor system for real-time face detection and tracking in uncontrolled conditions", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.588430; http://dx.doi.org/10.1117/12.588430
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KEYWORDS
Sensors

Cameras

Facial recognition systems

Calibration

Skin

Imaging systems

Video

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