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Carnegie Mellon Robotics Institute

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Abstract

We have designed a physical awareness system called CAMEO, the Camera Assisted Meeting Event Observer, which consists of a multi-camera omnidirectional vision system designed to be used in meeting environments. CAMEO is designed to monitor the activities of people in meetings so that it can generate a semantically-indexed summary of what occurred in the meeting. In this paper, we describe CAMEO?s fast people detection and tracking module. This module makes use of a combination of frame differencing, face detection, and adaptive color blob tracking based on mean shift analysis to detect and track people in the panoramic image. We describe this algorithm and present experimental results from captured meeting logs.

Keywords

people detection, people tracking, tracking, physical awareness , panorama, mean shift, mosaic, meeting observer

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): People Image Analysis Consortium and MultiRobot Lab

Associated Project(s): Camera Assisted Meeting Event Observer

Number of pages: 6

Text Reference

Raju Patil, Paul E. Rybski, Takeo Kanade, and Manuela M. Veloso, "People Detection and Tracking in High Resolution Panoramic Video Mosaic," Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), October, 2004, pp. 1323-1328.

BibTeX Reference

@inproceedings{Patil_2004_4805,
   author = "Raju Patil and Paul E. Rybski and Takeo Kanade and Manuela M. Veloso",
   title = "People Detection and Tracking in High Resolution Panoramic Video Mosaic",
   booktitle = "Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004)",
   pages = "1323-1328",
   month = "October",
   year = "2004",
   volume = "1",
}

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