Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends
Mostafa Ahmed Ezzat, Mohamed A. Abd El Ghany, Sultan Almotairi, Mohammed A.‐M. Salem
Abstract
The automation strategy of today's smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights. Although there have been recent reviews in this field, there is a remarkable gap that addresses four sides of the problem. Namely, the application of video surveillance in smart cities, algorithms, datasets, and embedded systems. In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced. Moreover, future trends and challenges are addressed.
Topics & Concepts
Big dataComputer scienceInternet of ThingsData scienceEnhanced Data Rates for GSM EvolutionField (mathematics)AnalyticsEdge computingAutomationSmart cityComputer securityTelecommunicationsEngineeringData miningMechanical engineeringPure mathematicsMathematicsVideo Surveillance and Tracking MethodsAdvanced Neural Network ApplicationsHuman Pose and Action Recognition