Comparative Analysis: Violence Recognition from Videos using Transfer Learning

Autor:	Dashdamirov, Dursun
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	Action recognition has become a hot topic in computer vision. However, the main applications of computer vision in video processing have focused on detection of relatively simple actions while complex events such as violence detection have been comparatively less investigated. This study focuses on the benchmarking of various deep learning techniques on a complex dataset. Next, a larger dataset is utilized to test the uplift from increasing volume of data. The dataset size increase from 500 to 1,600 videos resulted in a notable average accuracy improvement of 6% across four models. Comment: 6 pages, 5 figures, The paper will be published in IEEE AICT 2024 Conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.14659 Zobrazit plný text záznamu View this record from Arxiv