2026-10-23T18:47:15Zhttps://gumushane-rdlopen.rawdatalibrary.net/oai/request

oai:gumushane-rdlopen.rawdatalibrary.net:gumushane/145682026-10-22T11:37:16Zopenairedrivercom_gumushane_10000col_gumushane_10001com_gumushane_10007col_gumushane_10171

In Different Scenarios MobileNet-V1 for Cross-view Gait RecognitionYaprak, BusranurGedikli, EyupBadica, C.Ivanovic, M.Koprinkova-Hristova, P.Leon, F.Manolopoulos, Y.Yildirim, T.Ucar, A.cross-view gait recognitionGEImasked RGB frameMobileNetoptical flowGait recognition aims to identify people from a distance by analyzing their walking style. Nevertheless, the efficacy of recognition drops significantly under cross-view and, appearance-based variations such as carrying and clothing. In this study, the performance of the MobileNet-V1 deep network is evaluated in various scenarios to address the cross-view gait recognition problem. In the first scenario, the fine-tuned MobileNet-V1 is evaluated on Gait Energy Images (GEI) as input data, while in the second scenario, the fine-tuned MobileNet-V1 is assessed with Optical Flows and masked RGB frames input data. In the last scenario, the first two scenarios are combined over a single fused deep network based on finetuned MobileNet-V1, and a single recognition process is performed using two different fused features data; GEI features with Optical Flow features, and GEI features with masked RGB frame features. In the evaluation process, a comprehensive data set for the cross-view gait recognition problem, CASIA-B is used for the experiments. The obtained results demonstrate that in the last scenario, the contribution of masked RGB frame features to the recognition rate of GEI is more significant.Institute of Electrical and Electronics Engineers Inc.2024Conference Objecthttps://rdlopen.rawdatalibrary.net/r/gumushane/14568https://doi.org/10.1109/inista62901.2024.10683858979-835036813-02380-9337en18th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2024info:eu-repo/semantics/openAccessinfo:eu-repo/semantics/conferenceObjecthttps://gumushane-rdlopen.rawdatalibrary.net/tr/items/gumushane/14568