The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Maps for a Digital Video Library
IEEE MultiMedia
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Two-frame motion estimation based on polynomial expansion
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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In this work, we present iWalk, a multimedia exploration tool that provides an interactive virtual environment for physically exploring geo-tagged data. This tool is flexible enough for users to easily explore their own collections, or existing collections from the web. Two interaction modalities are incorporated into our tool -- movement and gesture. Movement (walking around the physical space) is used to intuitively move through the digital data space of a collection. Gesture is used for direct data manipulation; the user is able to select the mapping between gestures and interactions. In addition, we also provide functionality for exploring data that is not geo-located. Here the user defines a rough mapping between the data collection space and the physical interaction space and then operates the program as usual. We have currently tested the system on three different data sets -- a large collection of geo-tagged photographs from Flickr, a geo-located sound collection, and a museum collection that is not geo-located