Abstract
Pedestrian detection and tracking constitutes a key element of many intelligent video systems in different application areas, in particular for video surveillance, driving assistance, advanced manufacturing automation, and video indexing and retrieval tasks. Each particular application domain poses significant and, sometimes, different challenges to this task (e.g., applications with static or dynamic cluttered backgrounds, recognition in poor lighting conditions, and occlusion management). For this reason, a considerable amount of literature has been produced in the past to cope with a majority of the given issues. This entry presents the reader with an overview of recent detection and tracking approaches by focusing on their role in computer vision applications, analyzing the associated main challenges, and how they are currently addressed.
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