Transfer Learning Models for CNN Fusion With Fisher Vector for Codebook Optimization of Foreground Features
Human action recognition has become one of the main topics in the computer vision field due to its high demand and competitiveness in real-world applications.The main goals of human action recognition are to improve classification accuracy and reduce computational complexity.Previous studies have mainly used two approaches: the hand-crafted feature