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- 摘要
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- 实验方案
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[IEEE 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Mumbai, India (2018.1.5-2018.1.5)] 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Tracking People In Real Time Video Footage Using Facial Recognition
摘要： As of now, there is very less knowledge and use of Facial Recognition System for security surveillance in India. This project proposes a system which will use Facial Recognition to track or search a target person from a real time video feed, like a video feed from a surveillance system. Firstly, the system is provided with a Live Video footage of the area that has to be scanned. Then it is provided with an input data set of images of a targeted person for example, a missing person, criminal, etc. Once the input is provided the system will extract a predefined set of facial characteristics from the Input Dataset and create a training module which will help in searching the person from the real-time video footage. If a match is found, the system will identify and mark the person. Also one of the main objectives of this project is to develop the above-mentioned system in conjunction with the existing Surveillance system i.e. to make it compatible with the already installed surveillance cameras in- order keep the costs and hassle of running it at a minimum. The applications of this proposed system can be in Government Organizations like Police, Military, Municipal Corporations, Large Companies, etc for tracking people.
关键词： Facial Recognition,People Tracking,Intruder Detection.,Facial Detection,Real Time Video
更新于2025-09-09 09:28:46
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[IEEE 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Guangzhou, China (2018.10.8-2018.10.12)] 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Smart Office System with Face Detection at the Edge
摘要： The rapid increase in the number of Internet connected devices has placed a high level of demand on both the network bandwidth and the processing power currently available to the centralized physical datacentres that embody the ‘Cloud’. To alleviate such a demand and relieve the network capacity, the Edge Computing paradigm was recently proposed. Such a paradigm evangelizes the processing of data locally, closer to users and so avoiding the slow communication of data to centralized datacentres. The realization of such a paradigm requires the evaluation of smart applications on various potential energy efficient devices by understanding their processing and storage limits, while also looking for efficient methods to improve their capabilities. In this paper, we develop and evaluate an end to end smart office application on a representative Edge device, the latest Raspberry-Pi, while utilizing existing Cloud on Demand services connected through an Android application and Amazon Alexa Skill. The developed solution monitors various environmental conditions and is able to recognize users using facial recognition. We will evaluate the requirements of such an application on an Edge device and explore methods to reduce the data stored and processed, while evaluating the impact this has on the detection rate. In particular, we evaluate the effectiveness of increasing the image compression levels by measuring the level of compression used versus the time to create trained data and the face detection rate it produces. Our experimentation shows favourable results for the Edge system implementation, while also supporting the possibility of the hybridisation of Cloud and local processing to achieve complex tasks while minimising network use.
关键词： Edge Computing,Smart Environment,IoT,Facial Recognition
更新于2025-09-04 15:30:14