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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Infrared video human action recognition based on attention integrated multi-residual inflated 3D convnet

Yuan Shuai
Yu Lei
Wang Jiajie
Xiong Bangshu
Key Laboratory of Image Processing & Pattern Recognition of Jiangxi Province, Nanchang Hangkong University, Nanchang Jiangxi 330063, China
DOI: 10.19734/j.issn.1001-3695.2025.01.0030

Abstract

Infrared videos are vulnerable to background interference and lack rich temporal variations due to their physical properties, leading to poor human action recognition. To address this, this paper proposed a method combining attention mechanisms with multi-residual dilated 3D convolution for infrared video action recognition. First, it designed the Integrated Multi-Dimensional Attention (IMDA) to handle background interference and capture key areas in action frames by integrating spatial-temporal and channel information. Second, it designed the Temporal Pyramid Split Attention (TPSA) to capture dynamic information across multiple scales by splitting attention in the temporal dimension. Based on TPSA, this paper further developed the Temporal Pyramid Split Attention Multi-Residual (TSAMR) module to enhance the model's generalization in processing infrared videos under different background conditions. Experiments show that this method achieves accuracy of 81.73% and 90.76% on the IITR-IAR and campus safety action datasets, outperforming existing action recognition methods.

Foundation Support

国家自然科学基金资助项目(62162044)
江西省重点研发计划(20212BBE53017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.01.0030
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-13] Accepted Paper

Cite This Article

袁帅, 余磊, 汪嘉杰, 等. 基于融合注意力的多残差膨胀三维卷积红外视频行为识别 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0030. (Yuan Shuai, Yu Lei, Wang Jiajie, et al. Infrared video human action recognition based on attention integrated multi-residual inflated 3D convnet [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0030. )

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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