Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/88029
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Type: Conference paper
Title: Understanding interactions and guiding visual surveillance by tracking attention
Author: Reid, I.
Benfold, B.
Patron-Perez, A.
Sommerlade, E.
Citation: Computer Vision - ACCV 2010 Workshops: ACCV 2010 International Workshops, Queenstown, New Zealand, November 8-9, 2010, Revised Selected Papers, Part I, 2011 / vol.6468 LNCS, iss.PART1, pp.380-389
Publisher: Springer Berlin Heidelberg
Publisher Place: Germany
Issue Date: 2011
Series/Report no.: Lecture Notes in Computer Science; 6468
ISBN: 9783642228216
ISSN: 0302-9743
1611-3349
Conference Name: Asian Conference on Computer Vision (ACCV) (08 Nov 2010 - 09 Nov 2010 : Queenstown, New Zealand)
Statement of
Responsibility: 
Ian Reid, Ben Benfold, Alonso Patron, and Eric Sommerlade
Abstract: The central tenet of this paper is that by determining where people are looking, other tasks involved with understanding and interrogating a scene are simplified. To this end we describe a fully automatic method to determine a person’s attention based on real-time visual tracking of their head and a coarse classification of their head pose. We estimate the head pose, or coarse gaze, using randomised ferns with decision branches based on both histograms of gradient orientations and colour based features. We use the coarse gaze for three applications to demonstrate its value: (i) we show how by building static and temporally varying maps of areas where people look we are able to identify interesting regions; (ii) we show how by determining the gaze of people in the scene we can more effectively control a multi-camera surveillance system to acquire faces for identification; (iii) we show how by identifying where people are looking we can more effectively classify human interactions.
Rights: © Springer-Verlag Berlin Heidelberg 2011
RMID: 0020131270
DOI: 10.1007/978-3-642-22822-3_38
Appears in Collections:Computer Science publications

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