مقاله isi (هوش مصنوعی و دیپ لرنینگ)

من مقاله ای در بهترین سطح ژورنال ISI با کیفیت بالاترین Impact FactorمقالاتISI در حوزه هوش مصنوعی و دیپ لرنینگ (شبیه سازی و نتایج شبیه سازی را هم در مقاله ذکر کنند)کارشناس مشخصا حوزه دیپ لرنیگ و کامپیوتر ویژن Object Tracking and Management in Multi-Camera Systems Object tracking involves locating and following moving objects across sequences of images or video frames. The objective is to accurately track objects—such as products or boxes on assembly lines or people along paths—even during periods of occlusion. In the context of multi-camera systems, object tracking becomes more complex due to the need to integrate data from multiple sources. This requires advanced algorithms that can handle challenges such as varying viewpoints, occlusions, and changes in appearance. The goal is to develop, implement, and test new algorithms based on recent advancements in deep learning combined with stochastic filtering techniques, such as Kalman filtering. These algorithms will be evaluated against state-of-the-art methods to ensure their effectiveness in tracking and managing objects across different cameras. Effective object tracking in multi-camera systems is essential for applications like product management on assembly lines, where precise tracking supports better management and quality control. شبیه سازی الگوریتم های جدید و پیشرفته دیپ لرنینک و ترکیب با تکنیک فیلترینگ kalman filteringدر حوزه ردیابی اشیا و در نظر گرفتن اینکه کاربرد این object tracking در خط تولید محصولات و کارخانه ها است بررسی بشود