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Performance Analysis of Multi- Sensor Based Real-Time People Detection and Tracking System

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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 573))

Abstract

Rapid improvement in computational speed of PCs and significant price drops in video sensors and computing technology is facilitating development and deployment of realtime video surveillance and monitoring systems. One significant functionality in these systems is the ability to identify and track people in indoor or outdoor environments. Current systems often use multiple perspective cameras or stereo to locate and track objects in 3D. Examples of these systems are [4], [10].

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© 2000 Springer Science+Business Media New York

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Greiffenhagen, M., Ramesh, V. (2000). Performance Analysis of Multi- Sensor Based Real-Time People Detection and Tracking System. In: Foresti, G.L., Mähönen, P., Regazzoni, C.S. (eds) Multimedia Video-Based Surveillance Systems. The Springer International Series in Engineering and Computer Science, vol 573. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4327-5_19

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  • DOI: https://doi.org/10.1007/978-1-4615-4327-5_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6943-1

  • Online ISBN: 978-1-4615-4327-5

  • eBook Packages: Springer Book Archive

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