Automated wireless video surveillance: an evaluation framework

Alsmirat, Mohammad A.; Jararweh, Yaser; Obaidat, Islam; Gupta, Brij B.

doi:10.1007/s11554-016-0631-x

Cited by 30 publications

(5 citation statements)

References 16 publications

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“…It is an important part of data analysis to evaluate the predictive performance of the model [31]. The MAPE and APE are applied to judge the predictive performance of the models.…”

Section: Evaluation Index Of Model Performancementioning

confidence: 99%

The development trend of China’s aging population: a forecast perspective

Liu

Zhu

Zou

2022

Complex Intell. Syst.

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To accurately predict the aging population in China, a novel grey prediction model (CFODGMW(1,1, $$\alpha $$ α ) model) is established in this study. The CFODGMW(1,1, $$\alpha $$ α ) model has all the advantages of the weighted least square method, combined fractional-order accumulation generation operation and grey prediction model with time power term, which makes it have excellent prediction performance. Compared with the traditional grey prediction model based on the least square method and the first-order accumulation operation, the CFODGMW(1,1, $$\alpha $$ α ) model has stronger adaptability. The proposed model and its competing models are used to analyze the aging population in five regions of China. The results show that the prediction performance of the CFODGMW(1,1, $$\alpha $$ α ) model is better than other models. Based on this, the CFODGMW(1,1, $$\alpha $$ α ) model is used to predict the aging population in China in the next 4 years, and some suggestions are given based on the development trend of the aging population.

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“…It is an important part of data analysis to evaluate the predictive performance of the model [31]. The MAPE and APE are applied to judge the predictive performance of the models.…”

Section: Evaluation Index Of Model Performancementioning

confidence: 99%

The development trend of China’s aging population: a forecast perspective

Liu

Zhu

Zou

2022

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…It is a useful strategy to replace fixed cameras with UAVs for surveillance purposes. In the recent past, several surveillance frameworks were proposed, e.g., [16][17][18][19]. They offer basic tuning for variation in the target region during the flying mode.…”

Section: Related Workmentioning

confidence: 99%

SCRAS Server-Based Crosslayer Rate-Adaptive Video Streaming over 4G-LTE for UAV-Based Surveillance Applications

et al. 2019

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This research focuses on intelligent unmanned aerial vehicle (UAV)-based, real-time video surveillance to ensure better monitoring and security of remote locations over 4G-LTE cellular networks by maximizing end-user quality of experience (QoE). We propose a novel server-based crosslayer rate-adaptive scheme (SCRAS) for real-time video surveillance over 4G-LTE networks using UAVs. Our key contributions are: (1) In SCRAS, mobile UAVs having preprogrammed flight co-ordinates act as servers, streaming real-time video towards a remote client; (2) server-side video rate adaptation occurs in 4G-LTE based on the physical characteristics of the received signal conditions due to variations in the wireless channel and handovers; (3) SCRAS is fully automated and independent of client assistance for rate adaptation, as it is intended for real-time, mission-critical surveillance applications; (4) SCRAS ensures that during rate adaptation, the current video frame should not be damaged by completing the current group of packet (GoP) before adaptation. Our simulations in NS3 provide credible evidence that SCRAS outperforms recently proposed schemes in providing better QoE for real-time, rate-adaptive, video surveillance over 4G-LTE under varying channel quality and frequent handovers that occur during flight by UAVs.

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“…The eighth paper, entitled ''Automated wireless video surveillance: an evaluation framework,'' by Alsmirat et al [2] proposed a realistic wireless automated video surveillance system (AVS) simulation framework. The proposed framework built by extending NS-3, which is an open-source network simulator, provides a realistic MJPEG application layer that streams real video over a simulation network.…”

Section: Real-time Perceptual-inspired Imaging Systemsmentioning

confidence: 99%