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Published Articles >> Table of Contents >> Abstract
Sixth IEEE Workshop on Applications of Computer Vision (WACV'02)
p. 127
Attentive Billboards: Towards to Video based Customer Behavior
Ismail Haritaoglu, IBM Almaden Research Center
Myron Flickner, IBM Almaden Research Center
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ACV.2002.1182169
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| Abstract |
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We describe a real-time computer vision system and algorithms
that extracts customer behavior information by detecting
and tracking multiple people as they wait and watch
advertisements on a billboard or a new product promotion
at a stand. Our system segments each frame into foreground
regions which contains multiple people. Foreground regions
are further segmented into individuals using a temporal segmentation
of foreground and motion cues and global shape
constraints on 2D Silhouettes. A 2D dynamic appearance
templates is used to track people. The system can provide
online customer information, such as, number of people
currently watching the billboard, their gender, and offline
customer data, such as, how long each people looked at the
billboard. Experimental results demonstrate robustness and
real-time performance of the algorithm.
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 Additional Information
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Citation:
Ismail Haritaoglu, Myron Flickner,
"Attentive Billboards: Towards to Video based Customer Behavior,"
wacv,
p. 127,
Sixth IEEE Workshop on Applications of Computer Vision (WACV'02),
2002
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