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Estimating Attention in Exhibitions Using Wearable Cameras
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2014 (English)In: Pattern Recognition (ICPR), 2014 22nd International Conference on, Stockholm, Sweden: IEEE conference proceedings, 2014, , 2691-2696 p.2691-2696 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper demonstrates a system for automatic detection of visual attention and identification of salient items at exhibitions (e.g. museum or an auction). The method is offline and is done on a video captured by a head mounted camera. Towards the estimation of attention, we define the notions of "saliency" and "interestingness" for an exhibition items. Our method is a combination of multiple state of the art techniques from different vision tasks such as tracking, image matching and retrieval. Many experiments are conducted to evaluate multiple aspects of our method. The method has proven to be robust to image blur, occlusion, truncation, and dimness. The experiments shows strong performance for the tasks of matching items, estimating focus frames and detecting salient and interesting items. This can be useful to the commercial vendors and museum curators and help them to understand which items are appealing more to the visitors.

Place, publisher, year, edition, pages
Stockholm, Sweden: IEEE conference proceedings, 2014. , 2691-2696 p.2691-2696 p.
National Category
Robotics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-165681DOI: 10.1109/ICPR.2014.465ISI: 000359818002136Scopus ID: 2-s2.0-84919933952OAI: oai:DiVA.org:kth-165681DiVA: diva2:808747
Conference
International Conference on Pattern Recognition,24-28 Aug. 2014,Stockholm
Note

QC 20150521

Available from: 2015-04-29 Created: 2015-04-29 Last updated: 2015-09-14Bibliographically approved

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