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Woontack Woo
Researcher at KAIST
Publications - 337
Citations - 4471
Woontack Woo is an academic researcher from KAIST. The author has contributed to research in topics: Augmented reality & Context (language use). The author has an hindex of 32, co-authored 310 publications receiving 4070 citations. Previous affiliations of Woontack Woo include University of Southern California & Gwangju Institute of Science and Technology.
Papers
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Proceedings ArticleDOI
Multiple 3D Object tracking for augmented reality
TL;DR: This work presents a method that is able to track several 3D objects simultaneously, robustly, and accurately in real-time in order to take the advantages of the two approaches to object detection and tracking.
Journal ArticleDOI
Social itinerary recommendation from user-generated digital trails
TL;DR: This paper presents an itinerary model in terms of attributes extracted from user-generated GPS trajectories, and presents a social itinerary recommendation framework to find and rank itinerary candidates and compares mobile-only approach with Mobile+Cloud architecture for practical mobile recommender deployment.
Book ChapterDOI
Smart itinerary recommendation based on user-generated GPS trajectories
TL;DR: This paper proposes a smart recommendation for highly efficient and balanced itineraries based on multiple user-generated GPS trajectories that users only need to provide a minimal query composed of a start point, an end point and travel duration to receive an itinerary recommendation.
Book ChapterDOI
Ubi-UCAM: a unified context-aware application model
Seiie Jang,Woontack Woo +1 more
TL;DR: The proposed model affirms the independence between sensor and application by using a unified context in the form of Who (user identity), What (object identity), Where (location), When (time), Why (user intention/emotion) and How (user gesture), called 5W1H.
Proceedings Article
Proceedings of the 10th international conference on Ubiquitous computing
TL;DR: The set of accepted papers constitutes the largest number of papers accepted to a UbiComp conference to date, representing an overall acceptance rate of 19%.