IoVT-based efficient solution for optimal active smart camera selection in a tracking mission

Ala‐Eddine Benrazek

doi:10.1016/j.iot.2023.100941

IoVT-based efficient solution for optimal active smart camera selection in a tracking mission

2023-12-01

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Ala‐Eddine Benrazek *

DOI：10.1016/j.iot.2023.100941

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Nowadays, to ensure people's and property's safety, cities have dozens of cameras installed on almost every corner. However, the haphazard deployment of these cameras often results in overlapping fields of view, leading to redundant processing of the same events by multiple cameras. This situation requires more power, huge bandwidth, and more storage capacity for collecting, processing and distributing multimedia data over the network. To overcome these challenges, we propose a novel Internet of Video Things-based system that efficiently reduces the number of cameras involved in processing redundant events. The proposed system operates through a two-step process. Firstly, a leader is elected from a group of cameras based on the degree of overlap in their fields of view, serving as the coordinator. Secondly, the system intelligently selects suitable assistants from neighboring cameras to complement the leader's vision when it becomes inadequate for effective object tracking. Consequently, only the leader and its assistants remain active, while other neighboring cameras remain in an inactive state. The evaluation demonstrates that our IoVT-based solution offers an efficient approach by minimizing redundancy, optimizing resource utilization and overcoming the challenges posed by the random installation of cameras in urban environments.

Keywords:

Internet of Things

Internet of video things

Cloud-fog computing

Smart camera selection

Tracking missions

Distributed algorithm

IoVT-based efficient solution for optimal active smart camera selection in a tracking mission

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