Transfer learning with fine tuning for human action recognition from still images

• Published in: Multimedia tools and applications Vol. 80; no. 13; pp. 20547 - 20578
• Main Authors: Chakraborty, Saikat, Mondal, Riktim, Singh, Pawan Kumar, Sarkar, Ram, Bhattacharjee, Debotosh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2021; Springer Nature B.V
• Subjects: Artificial neural networks; Availability; Benchmarks; Computer Communication Networks; Computer Science; Computer vision; Data Structures and Information Theory; Datasets; Human activity recognition; Human motion; Machine learning; Multimedia Information Systems; Object recognition; Source code; Special Purpose and Application-Based Systems; Deep learning; Human action recognition; Stanford40; PPMI action dataset; Transfer learning; Still image

Still image-based human action recognition (HAR) is one of the most challenging research problems in the field of computer vision. Some of the significant reasons to support this claim are the availability of few datasets as well as fewer images per action class and the existence of many confusing c...