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Object tracking as job-scheduling problem

机译：对象跟踪作为工作计划问题

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摘要

This paper establishes a connection between object tracking from a systems point of view and the job-scheduling or job-shop problem. Often, surveillance areas cannot be fully monitored by a set of smart cameras at any given point in time. Decisions have to be made, which objects are to be tracked. The computer vision aspects of object tracking have made substantial strides which permits for elaborately planning the monitoring jobs. In this paper, object tracking is handled as a job-scheduling problem. As a result, tracked objects are considered as scheduling jobs that rely on smart cameras as resources that follow according tracking policies. The presented job-scheduling approach is based on proactive quotations advertised by the jobs. The main advantages of this algorithm are the avoidance of negotiation chains and the acceptance of local non-optimal solutions to benefit the overall performance.
机译：本文从系统的角度建立了对象跟踪与作业计划或作业车间问题之间的联系。通常，在任何给定时间点，一组智能摄像机都无法完全监视监视区域。必须做出决定，要跟踪哪些对象。对象跟踪的计算机视觉方面取得了长足的进步，这允许精心计划监视工作。在本文中，对象跟踪被视为作业计划问题。结果，被跟踪的对象被视为调度工作，该工作依赖于智能相机作为遵循跟踪策略的资源。提出的工作计划方法是基于工作所宣传的主动报价。该算法的主要优点是避免了协商链，并接受了局部非最佳解决方案以提高整体性能。

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