@article{article_779063, title={Analysis of an Image Recognition Method on Group Activities}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={68–72}, year={2020}, DOI={10.31590/ejosat.779063}, author={Zalluhoğlu, Cemil}, keywords={Group activity recognition, Deep learning, Image classification}, abstract={Recognizing group activity on still images is a very challenging problem. The difficulty in a distinction between foreground and background on images makes this problem more complicated than the problem of recognizing group activity on video due to the lack of spatial and temporal information. In this study, we examine the analysis of a still image recognition method on the Volleyball video dataset, which is collected for group activity recognition. We feed an additional mean image that is obtained from the previous and/or subsequent frames with the target image in order to analyze the temporal information gain. We aim to acquire temporal information from the mean images and to use it to train our method. As it is understood from the experimental results, our proposed method can get comparable results with the state-of-the-art video-based group activity recognition studies.}, publisher={Osman SAĞDIÇ}