Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors

CVPR 2015 Limin WangYu QiaoXiaoou Tang

Visual features are of vital importance for human action understanding in videos. This paper presents a new video representation, called trajectory-pooled deep-convolutional descriptor (TDD), which shares the merits of both hand-crafted features and deep-learned features... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Activity Recognition In Videos DogCentric TDD [[Wang, Qiao, and Tang2015]] Accuracy 76.6 # 2