Automated learning for people counting systems

Details Automated learning for people counting systems Automated learning for people counting systems

2011-08-02

2011-08-02

Le, Vu (Department: 2624)

Image analysis

Applications

Target tracking or detecting

C382S159000

Reexamination Certificate

active

07991193

ABSTRACT:
A system, method and program product for providing automated learning for a people counting system. A system is disclosed that includes a grid system for dividing a field of view (FOV) of a captured image data into a set of blocks; an object detection and tracking system for tracking a blob passing through the FOV; and a learning system that maintains person size parameters for each block and updates person size parameters for a selected block when a blob appears in the selected block.

REFERENCES:
patent: 5656801 (1997-08-01), Goren et al.
patent: 7161482 (2007-01-01), Rider et al.
patent: 7203338 (2007-04-01), Ramaswamy et al.
patent: 2006/0171570 (2006-08-01), Brendley et al.
patent: 2006/0227862 (2006-10-01), Campbell et al.
patent: 2006/0269103 (2006-11-01), Brown et al.
patent: 2007/0086623 (2007-04-01), Ramaswamy et al.
patent: 2008/0212099 (2008-09-01), Chen
Park et al., “Development of a block-based real-time people counting system”, Aug. 2006, SSPR&SPR 2006, LNCS 4109, pp. 366-374.
Adriano et al., “APeC: Automated People Counting from Video”, in Proc. Conf. Security and Networking, Philippine, 2005.
Hsieh et al., “Grid-based Template Matching for People Counting”, Multimedia Signal Processing, Oct. 2007.

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