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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
914-918,924

Group activity recognition based on selective fusion and relational reasoning

Liu Sifan
Lin Guocheng
Qin Jianwei
Wang Chuanxu
School of Information Science & Technology, Qingdao University of Science & Technology, Shandong Qingdao 266061, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0346

Abstract

To address the problem of how to select more discriminative multimodal character features and how to pay more attention to individual-specific spatio-temporal interaction modeling when performing character relationship inference, this paper proposed an algorithmic framework for dynamic relationship inference based on selective feature fusion(SFDRI). It achieved the selective fusion of multimodal features by designing a selective feature fusion module that added a resampling method to select the most relevant feature representation based on the probability distribution scores of the random functions of different modal features. And it used the dynamic relationship inference module to achieve complex spatio-temporal inference for individuals. By initializing the interaction domain on the spatio-temporal graph, it used the dot product to calculate the predicted character interaction matrix, and meanwhile added dynamic offsets of each character feature to form an individual-specific interaction graph, and iteratively updated the features on the interaction graph for the final group behavior recognition. Combined with the comparison experiments, the algorithm improves the average recognition accuracy by 1.2% and 1.5% on the publicly available volleyball dataset and collective activity dataset, respectively, demonstrating the effectiveness of the algorithmic framework.

Foundation Support

国家自然科学基金资助项目(61672305)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0346
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Technology of Graphic & Image
Pages: 914-918,924
Serial Number: 1001-3695(2023)03-045-0914-05

Publish History

[2022-09-28] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

刘斯凡, 林国丞, 秦建伟, 等. 基于选择性融合及关系推理的群组行为识别 [J]. 计算机应用研究, 2023, 40 (3): 914-918,924. (Liu Sifan, Lin Guocheng, Qin Jianwei, et al. Group activity recognition based on selective fusion and relational reasoning [J]. Application Research of Computers, 2023, 40 (3): 914-918,924. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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