A Smart City Application Design for Efficiently Tracking Missing Person in Large Gatherings in Madinah Using Emerging IoT Technologies

Nadeem, Adnan; Rizwan, Kashif; Mehmood, Amir; Qadeer, Nauman; Noor, Fazal; Alzahrani, Ali

doi:10.1109/majicc53071.2021.9526244

Cited by 9 publications

(18 citation statements)

References 18 publications

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“…The early work published by Nadeem A. et al [6] and Nadeem A. et al [8] using an unique integration of face-recognition algorithms, which employs many recognition algorithms in parallel and combines their predictions using a soft voting mechanism, shown improved accuracy. Based on spatio-temporal constructs, this delivers a more sophisticated forecast.…”

Section: Related Workmentioning

confidence: 99%

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance

Nadeem

Ashraf

Qadeer

et al. 2022

Sensors

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Locating a missing child or elderly person in a large gathering through face recognition in videos is still challenging because of various dynamic factors. In this paper, we present an intelligent mechanism for tracking missing persons in an unconstrained large gathering scenario of Al-Nabawi Mosque, Madinah, KSA. The proposed mechanism in this paper is unique in two aspects. First, there are various proposals existing in the literature that deal with face detection and recognition in high-quality images of a large crowd but none of them tested tracking of a missing person in low resolution images of a large gathering scenario. Secondly, our proposed mechanism is unique in the sense that it employs four phases: (a) report missing person online through web and mobile app based on spatio-temporal features; (b) geo fence set estimation for reducing search space; (c) face detection using the fusion of Viola Jones cascades LBP, CART, and HAAR to optimize the results of the localization of face regions; and (d) face recognition to find a missing person based on the profile image of reported missing person. The overall results of our proposed intelligent tracking mechanism suggest good performance when tested on a challenging dataset of 2208 low resolution images of large crowd gathering.

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Section: Related Workmentioning

confidence: 99%

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance

Nadeem

Ashraf

Qadeer

et al. 2022

Sensors

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“…The system will help locating lost pilgrims. Moreover, systems using the Internet of Things (IoT) were also proposed to monitor, locate and track lost pilgrims [68], [69]. Missing-pilgrims tracking using GPS and Arduino board was also proposed in the literature [70].…”

Section: B Tracking and Navigationmentioning

confidence: 99%

“…ICT was used in planning various aspects of Hajj and Umrah as well. For instance, Deep Learning (DL) was used to estimate the number of pilgrims visiting the holy sites in Technology References Ad-Hoc Networks [80], [112] Adrouino Microcontroller [70], [190], [287] Augmented Reality (AR)-Virtual Reality (VR)-Mixed Reality (MR) [93], [133]- [138], [140], [144], [146], [207], [211] Business Intelligence (BI) [42], [183] Big Data Analytics [50], [169] Bluetooth Low Energy (BLE) [68], [115], [191], [238]- [241], [288] Blockchain [154], [155], [162], [289]-[291] Closed-Circuit TeleVision (CCTV) [248], [292] Cellular Networks [70], [71], [81], [107], [115], [187], [189], [191], [196] Cloud Computing [75], [220], [229], [267], [293], [294] Cryptography…”

Section: Infrastructure and Planningmentioning

confidence: 99%

“…[296] Fog Computing [208], [293], [297] Game Theory [203] Global Positioning System (GPS) /Geographic Information System (GIS) [63]- [65], [71], [74], [75], [81], [85], [87], [88], [90], [91], [98], [101], [105], [115], [125], [143], [182], [189], [191], [196], [205], [239], [262], [273], [274], [282], [284], [292] Graphics Processing Units (GPU) [257], [258] Image Processing and Computer Vision [83], [84], [147], [226], [227], [242], [250], [252], [286] Internet of Things (IoT) [68], [69], [113], [195], [22...…”

Section: Infrastructure and Planningmentioning

confidence: 99%

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Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

Showail

2022

IEEE Access

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Hajj and Umrah are Muslims' religious pilgrimages to Makkah, Saudi Arabia. Hajj is considered the largest annual gathering in the world. In Islam, each and every able-bodied adult is obligated to go for Hajj at least once in his/her lifetime. Hajj takes place between the 8 th and the 13 th day of Dhul Hijjah, which is the last month of the Islamic year while Umrah, the minor pilgrimage, could be done any time of the year. In Hajj, pilgrims, also known as Hajjis, travel around 15 km and pilgrims have the choice to do it by foot, bus or by train. The Hajj journey starts from Mina, which is considered the largest tent city in the world because it hosts more than 10,000 fire resistant tents, and includes various religious rituals. Around 3 million Muslims from more than 183 countries make Hajj every year and the Kingdom of Saudi Arabia is working on increasing this number. Since 1989, researchers in various ICT domains have tried leveraging their expertise in solving challenges and issues related to Hajj and Umrah. Although several papers have surveyed efforts using technology in Hajj and Umrah research, none of them was comprehensive. In this paper, I classified research efforts that used information and communication technologies for solving Hajj and Umrah challenges over the past 33 years based on their applications in 10 categories. I also identified more than 30 technologies used by researchers all over the world to address Hajj and Umrah issues and group research efforts based on these technologies for ease of access. Furthermore, open challenges were discussed and new technologies that could be used to address these challenges were proposed.

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“…Along with blockchain, IoT is the evolutionary technology of this era. IoT technology has already been implemented in various fields including healthcare (Haghi et al, 2020;Asokan et al, 2021;Bhuiyan et al, 2021;Mehmood et al, 2021;Sharma et al, 2022); smart cities (Zafeiriou, 2020;Hajam and Sofi, 2021;Kaushik and Bagga, 2021;Nadeem et al, 2021); security (Siddiqui et al, 2019(Siddiqui et al, , 2020; business (Aagaard et al, 2019;Ali et al, 2019Ali et al, , 2020aFattouch et al, 2020;Torres et al, 2020); and agriculture (Azfar et al, 2018;Kassim, 2020;Syed et al, 2020) etc.…”

Section: Iot As Energy Trading Enabling Technologymentioning

confidence: 99%

A survey on peer-to-peer energy trading for local communities: Challenges, applications, and enabling technologies

Nadeem

2022

Front. Comput. Sci.

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Electricity is still a highly demanding resource in developing countries, especifically in rural areas. Local communities in developing countries are now focusing on generating their own electricity using solar and trading the energy which is in access to the supplier. Energy trading at the peer-to-peer level is a novel paradigm. It allows customers to contribute energy to the grid and power generation and supply companies. In this paper, we investigate the energy trading enabling technologies, their applications, challenges, and benefits to the local communities from various aspects. We analyse how blockchain and IoT technologies can help energy trading at the customer level from recent research proposals. We also present our analysis of recent research on the implementation of energy trading technologies and future directions.

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A Smart City Application Design for Efficiently Tracking Missing Person in Large Gatherings in Madinah Using Emerging IoT Technologies

Cited by 9 publications

References 18 publications

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance

Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance

Solving Hajj and Umrah Challenges Using Information and Communication Technology: A Survey

A survey on peer-to-peer energy trading for local communities: Challenges, applications, and enabling technologies

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