ATSN: Attention-Based Temporal Segment Network for Action Recognition
Yunlei Sun, Dalin Zhang · Tehnicki vjesnik - Technical Gazette · 2019
In human action recognition, a reasonable video representation is still a problem to be solved.For humans, it is easy to focus on the prominent areas of the image in the video, focusing on the part of interest.Inspired by this, we proposed a deep Temporal Segment Network based on visual attention-ATSN.By lightly modifying the model structure, ATSN integrates the human attention mechanism into the Temporal Segment Networks, can effectively add a weight to the video representation features, pays attention to the beneficial regions in the features, and achieves more accurate action recognition.We conducted the Oilfield-7 dataset for human actions on the oilfield.The experimental results on HMDB51 and Oilfield-7 show that the ATSN had achieved excellent performance.