Image Digital Zoom Based Single Target Apriltag Recognition Algorithm in Large Scale Changes on the Distance

Duan, Haoyu; Zhang, Yumin; Wei, Sheng

doi:10.1109/iciai.2019.8850822

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…However, this method has limitations in adapting to the scene changes that our approach aims to address. An interesting approach to target recognition in an area is described in [2]. The authors demonstrate that they achieve high accuracy in detecting and recognizing a static target, while this is not the case for moving targets.…”

Section: State Of the Artmentioning

confidence: 99%

Federated Edge for Tracking Mobile Targets on Video Surveillance Streams in Smart Cities

Martella

Fazio

Celesti

et al. 2022

2022 IEEE Symposium on Computers and Communications (ISCC)

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Nowadays, video surveillance is a very common practice in Smart Cities. There are public and private video surveillance systems, and very often different systems or single devices frame the same area. However, when a target needs to be identified or needs to be tracked in real-time, such solutions typically require human intervention to configure the devices in the best possible way (e.g., choosing the optimal cameras, setting up their focus, and so on). To address such a problem, in this paper, we define a new interrogation method based on a Federated Edge approach. This approach addresses the problem from the point of view of both camera hardware and shooting angle associated with it. According to the presented approach, it is possible to understand which the best camera to identify a target and possibly tracking it in a specific area is. A case study is defined in the context of urban mobility management.

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Section: State Of the Artmentioning

confidence: 99%