Behavior recognition based on the improved density clustering and context-guided Bi-LSTM model

Author:

Zhou Tongchi,Tao AiminORCID,Sun Liangfeng,Qu Boyang,Wang Yanzhao,Huang Hu

Funder

Fund Project of National Natural Science Foundation of China

China National Textile and Apparel Council

Key Scientific Research Project of Colleges and Universities in Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference53 articles.

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2. Bhattacharya S, Sukthankar R, Jin R, Shah M (2011) A probabilistic representation for efficient large-scale visual recognition tasks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2593–2600

3. Chen K, Franko K, Sang R (2021) Structured model pruning of convolutional networks on tensor processing units. arXiv preprint arXiv:2107.04191

4. Dai C, Liu X, Lai J (2020) Human action recognition using two-stream attention based LSTM networks. Appl Soft Comput 86:105820

5. Donahue J, Anne Hendricks L, Guadarrama S, Rohrbach M, Venugopalan S, Saenko K, Darrell T (2015) Long-term recurrent convolutional networks for visual recognition and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2625–2634

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