Araştırma Makalesi

Analysis of an Image Recognition Method on Group Activities

15 Ağustos 2020
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Analysis of an Image Recognition Method on Group Activities

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.

Keywords

Kaynakça

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  5. Lu, L., Lu, Y., Yu, R., Di, H., Zhang, L., & Wang, S. (2019). GAIM: Graph Attention Interaction Model for Collective Activity Recognition. IEEE Transactions on Multimedia, 22(2), 524-539.
  6. Zalluhoglu, C., & Ikizler-Cinbis, N. (2019). Region based multi-stream convolutional neural networks for collective activity recognition. Journal of Visual Communication and Image Representation, 60, 170-179.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Ağustos 2020

Gönderilme Tarihi

28 Haziran 2020

Kabul Tarihi

10 Ağustos 2020

Yayımlandığı Sayı

Yıl 2020

Kaynak Göster

APA
Zalluhoğlu, C. (2020). Analysis of an Image Recognition Method on Group Activities. Avrupa Bilim ve Teknoloji Dergisi, 68-72. https://doi.org/10.31590/ejosat.779063