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A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
We present a multi-stream bi-directional recurrent neural network for fine-grained action detection. Recently, twostream convolutional neural networks (CNNs) trained on stacked optical flow and image frames have been successful for action recognition in videos. Our system uses a tracking algorithm to locate a bounding box around the person, which provides a frame of reference for appearance and motion and also suppresses background noise that is not within the bounding box. We train two
doi:10.1109/cvpr.2016.216
dblp:conf/cvpr/SinghMJTS16
fatcat:jz2aip3dg5gszcj7z3cpcj45qy