Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Understanding interactions and guiding visual surveillance by tracking attention|
|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|
|Series/Report no.:||Lecture Notes in Computer Science; 6468|
|Conference Name:||Asian Conference on Computer Vision (ACCV) (08 Nov 2010 - 09 Nov 2010 : Queenstown, New Zealand)|
|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|
|Appears in Collections:||Computer Science publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.