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Learn advanced computer vision techniques for detecting, segmenting, and tracking elongated objects in this 40-minute lecture delivered by Ioanna Valsamara as part of the AI Doctoral Academy's AIDA AICET2025 program. Explore specialized methodologies and algorithms designed to handle the unique challenges posed by elongated objects in computer vision applications, including their distinctive geometric properties and tracking complexities across video sequences. Gain insights into state-of-the-art approaches for object detection that account for aspect ratio variations, segmentation techniques that preserve elongated object boundaries, and tracking algorithms that maintain object identity despite shape deformations and occlusions commonly encountered with elongated structures.
