Trajectory-Pooled Deep-Convolutional Descriptors (TDD)
Here we provide the code for the extraction of Trajectory-Pooled Deep-Convolutional Descriptors (TDD), from the following paper:
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang, Yu Qiao, and Xiaou Tang, in CVPR, 2015
Two-stream CNN models trained on the UCF101 dataset
First, we provide our trained two-stream CNN models on the split1 of UCF101 dataset, which achieve the recognition accuracy of 84.7%
"Spatial net model"
"Spatial net prototxt" "Temporal net model" "Temporal net prototxt"
TDD demo code
Here, a matlab demo code for TDD extraction is released.
You need download our modified iDT feature code and compile it by yourself. Improved Trajectories