Department of Information Engineering, University of Padova, 35131 Padova, Italy.
Department of Management and Engineering, University of Padova, 36100 Vicenza, Italy.
Sensors (Basel). 2022 Mar 30;22(7):2661. doi: 10.3390/s22072661.
The recent trend toward the development of IoT architectures has entailed the transformation of the standard camera networks into smart multi-device systems capable of acquiring, elaborating, and exchanging data and, often, dynamically adapting to the environment. Along this line, this work proposes a novel distributed solution that guarantees the real-time monitoring of 3D indoor structured areas and also the tracking of multiple targets, by employing a heterogeneous visual sensor network composed of both fixed and Pan-Tilt-Zoom (PTZ) cameras. The fulfillment of the twofold mentioned goal was ensured through the implementation of a distributed game-theory-based algorithm, aiming at optimizing the controllable parameters of the PTZ devices. The proposed solution is able to deal with the possible conflicting requirements of high tracking precision and maximum coverage of the surveilled area. Extensive numerical simulations in realistic scenarios validated the effectiveness of the outlined strategy.
近年来，物联网架构的发展趋势使得标准的摄像网络转变为能够采集、处理和交换数据的智能多设备系统，并且通常能够动态适应环境。在此背景下，这项工作提出了一种新颖的分布式解决方案，该方案使用由固定和全方位（PTZ）摄像机组成的异构视觉传感器网络，保证了对 3D 室内结构化区域的实时监控和对多个目标的跟踪。通过实现一种基于分布式博弈论的算法，该方案确保了 PTZ 设备的可控参数的最优化，从而实现了上述两个目标。所提出的解决方案能够应对高跟踪精度和最大监测区域覆盖范围这两个可能存在冲突的要求。在真实场景中的广泛数值模拟验证了所提出策略的有效性。
