SCCS: A Scalable Clustered Camera System for Multiple Object Tracking Communicating Via Message Passing Interface
SCCS: A Scalable Clustered Camera System for Multiple Object Tracking Communicating Via Message Passing Interface
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SCCS：可扩展的集群摄像头系统，用于通过消息传递接口进行通信的多个对象跟踪
DOI：
10.1109/icme.2006.262452
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
J. Singh
中科院分区：
文献类型：
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作者：
Senem Velipasalar;J. Schlessman;Cheng;W. Wolf;J. Singh
我们介绍了可扩展的集群摄像机系统，一个点对点的多摄像机系统的多目标跟踪，其中不同的CPU被用来处理来自不同的摄像机的输入。而不是从一个摄像机到另一个转移跟踪作业的控制，在我们的系统中的每个摄像机执行自己的跟踪，并保持自己的轨道为每个目标对象，从而提供容错。提出了一种快速、鲁棒的跟踪方法，对每个摄像机视图进行跟踪，同时保持一致的标记。此外，我们引入了一个新的通信协议，在决定何时以及与谁进行通信，这样的频率和大小的传输消息被最小化。该协议包含可变同步功能，以便在准确性方面实现灵活性。我们讨论我们的实现，由一个并行计算集群，与MPI执行的摄像机之间的通信。我们目前的实验结果表明，所提出的点对点多摄像机跟踪系统的成功，具有95%的准确率为高频率的同步，以及在低同步频率下恢复正确标签的15帧延迟的最坏情况
We introduce the scalable clustered camera system, a peer-to-peer multi-camera system for multi-object tracking, where different CPUs are used to process inputs from distinct cameras. Instead of transferring control of tracking jobs from one camera to another, each camera in our system performs its own tracking and keeps its own tracks for each target object, thus providing fault tolerance. A fast and robust tracking method is proposed to perform tracking on each camera view, while maintaining consistent labeling. In addition, we introduce a new communication protocol, where the decisions about when and with whom to communicate are made such that frequency and size of transmitted messages are minimized. This protocol incorporates variable synchronization capabilities, so as to allow flexibility with accuracy tradeoffs. We discuss our implementation, consisting of a parallel computing cluster, with communication between the cameras performed by MPI. We present experimental results which demonstrate the success of the proposed peer-to-peer multi-camera tracking system, with accuracy of 95% for a high frequency of synchronization, as well as a worst-case of 15 frames of latency in recovering correct labels at low synchronization frequencies