Bag of Optical Flow Volumes for Image Sequence Recognition
نویسندگان
چکیده
This paper introduces a novel 3D interest point detector and feature representation for describing image sequences. The approach considers image sequences as spatio-temporal volumes and detects Maximally Stable Volumes (MSV) in efficiently calculated optical flow fields. This provides a set of binary optical flow volumes highlighting the dominant motions in the sequences. Embedded in a simple bag-of-words model, we achieve excellent results on the Weizmann dataset outperforming recent 3D interest point detection and description methods.
منابع مشابه
Bag of Optical Flow Volumes for Image Sequence Recognition1
This paper introduces a novel 3D interest point detector and feature representation for describing image sequences. The approach considers image sequences as spatiotemporal volumes and detects Maximally Stable Volumes (MSVs) in efficiently calculated optical flow fields. This provides a set of binary optical flow volumes highlighting the dominant motions in the sequences. 3D interest points are...
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تاریخ انتشار 2009