Multi-Object Tracking-by-Detection Using Multi-Camera Systems
Abstract: Automatic tracking of objects in sequences of complex scenes is one of most important and challenging topics in modern computer vision research. It is applied to numerous application scenarios, for instance visual surveillance, medical image analysis, and microscopy videos in biological research. Most of the traditional tracking approaches are only single-view-based and hence are facing problems like 2D occlusions and object ambiguities. Expanding the observed scene using several cameras can improve the robustness and reliability of the system as well as provide 3D world coordinates.
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