NDLI: A joint estimation of head and body orientation cues in surveillance video

Content Provider	IEEE Xplore Digital Library
Author	Cheng Chen Heili, A. Odobez, J.-M.
Copyright Year	2011
Description	Author affiliation: Idiap Research Institute - CH-1920, Martigny, Switzerland (Cheng Chen; Heili, A.; Odobez, J.-M.)
Abstract	The automatic analysis and understanding of behavior and interactions is a crucial task in the design of socially intelligent video surveillance systems. Such an analysis often relies on the extraction of people behavioral cues, amongst which body pose and head pose are probably the most important ones. In this paper, we propose an approach that jointly estimates these two cues from surveillance video. Given a human track, our algorithm works in two steps. First, a per-frame analysis is conducted, in which the head is localized, head and body features are extracted, and their likelihoods under different poses is evaluated. These likelihoods are then fused within a temporal filtering framework that jointly estimate the body position, body pose and head pose by taking advantage of the soft couplings between body position (movement direction), body pose and head pose. Quantitative as well as qualitative experiments show the benefit of several aspects of our approach and in particular the benefit of the joint estimation framework for tracking the behavior cues. Further analysis of behavior and interaction could then be conducted based on the output of our system.
Starting Page	860
Ending Page	867
File Size	3497844
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Head Estimation Humans Feature extraction Vectors Three dimensional displays
Content Type	Text
Resource Type	Article

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