Egocentric Activity Recognition Using Bag of Visual Words
نویسنده
چکیده
This paper presents an approach for recognizing activities using video from the egocentric setup. In this approach instead of using intermediate setup like object detection, pose estimation, modeling spatial distribution of visual words is implemented. The interactions are encoded by using Histogram oriented Pairwise Relation named (HOPR) between the visual words, orientations and alignments. A codebook is generated using a bag of visual words. This identifies the daily activities from the egocentric video.
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تاریخ انتشار 2016