RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification

Soulayma Gazzeh, Liliana Lo Presti, Ali Douik, Marco La Cascia. RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification. In Nicolas Tsapatsoulis, Andreas Lanitis, Marios Pattichis, Constantinos S. Pattichis, Christos Kyrkou, Efthyvoulos Kyriacou, Zenonas Theodosiou, Andreas Panayides, editors, Computer Analysis of Images and Patterns - 20th International Conference, CAIP 2023, Limassol, Cyprus, September 25-28, 2023, Proceedings, Part II. Volume 14185 of Lecture Notes in Computer Science, pages 55-64, Springer, 2023. [doi]

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