This survey offers an updated and focused review of deep learning-based ReID methods, encompassing research from 2020 to 2025, and investigates in-depth the engineering aspects, including system integration, real-time performance, and sensor constraints, which are often overlooked in reviews of earlier work.
Z.A.M. Faisal, Nidhal K. El Abbadi· Kufa journal of Engineering· 0 citations
A hybrid framework that integrates Principal Component Analysis, Local Binary Patterns, Wavelet Scattering Transform, and the XGBoost classifier for color texture classification is presented, demonstrating that the two selected complementary feature extraction methods provide a compact yet effective representation for color texture classification on these datasets.
Zahoor M. Aydam, Baidaa Mutasher Rashed, Nidhal K. El Abbadi· Journal of Imaging· 0 citations
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