Wide baseline binocular object matching method using minimal cost flow network
作者： Shuqing Zeng
DOI:
关键词: Mathematics 、 Tracking (particle physics) 、 Matching (graph theory) 、 Artificial intelligence 、 Vertex (computer graphics) 、 Object (computer science) 、 Flow (mathematics) 、 Flow network 、 Computer vision 、 Image (mathematics) 、 Path (graph theory)
摘要: A method for tracking a target object utilizing binocular system includes capturing first and second images, the image captured from camera device device. plurality of images are applied to detection costs each associated with respective ones patches is determined. matching corresponding selected pairs between At least one cost flow path determined source vertex sink based on tracked at path.
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