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Intelligent Traffic Management Using || AI & Metaheuristics || ~xRay Pixy

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Hybrid Artificial Intelligence and Metaheuristics for Smart City TRafci Management Problem Video Chapters: 00:00 Introduction 00:40 Smart Cities 01:14 Traditional Methods for Traffic Management 02:12 Hybrid Approach AI and Metaheuristics 02:47 STEPS for Hybrid  Traffic Management System 08:40 Advantages of Smart Traffic Management System 09:33 Conclusion

What is the difference between local descriptors and global descriptors?

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Descriptors  rely on Gradient-based or intensity variation approaches to detect Local Features (e.g., Edges, Blobs, and Regions). BLOB = Binary Large Object (i.e., the region of the image). Descriptors such as HOG, SIFT, SURF (rely on local gradient computation). Binary Descriptors such as BRISK, ORB or FREAK (rely on local intensity differences) Global Descriptor –  Describe the whole image, Local Descriptor  – Describe the patch within the image. (The best example of the global descriptor is SIFT). LDP = Local Directional Pattern. Local Directional Pattern is a  descriptor  i.e., used for Face Recognition. How to Calculate Local Directional Pattern (LDP) Code?|Kirsch Compass Mask| https://youtu.be/dY0KarfWTV4
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