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What is Pattern Matching Algorithms

Global Perspectives on Robotics and Autonomous Systems: Development and Applications
Vision systems procedures to recognize objects in fixed scenario.
Published in Chapter:
Security Systems Using Machine Vision
Guillermo M. Limon-Molina (Universidad Politécnica de Baja California, Mexico), E. Ivette Cota-Rivera (Universidad Politécnica de Baja California, Mexico), Fabian N. Murrieta-Rico (Universidad Politécnica de Baja California, Mexico), Miguel E. Bravo-Zanoguera (Universidad Politécnica de Baja California, Mexico), Maria E. Raygoza-L. (Universidad Politécnica de Baja California, Mexico), Abelardo Mercado-Herrera (Universidad Politécnica de Baja California, Mexico), and Jesus Heriberto Orduño (Universidad Politécnica de Baja California, Mexico)
DOI: 10.4018/978-1-6684-7791-5.ch004
Abstract
Surveillance systems are image acquisition systems that use commercial security cameras fixed at specific locations in stores, houses, or warehouses to enhance safety and protect staff, assets, and buildings. Although these systems are good security options, a temporal secure area or nearby mobile needs an alternative personal monitoring solution that can be constructed by using the smartphone multimedia resources to access a PC's machine vision software, providing a tool for surveillance. In this chapter, an application is developed using only a smartphone camera and a pattern matching algorithm to detect presence of people in a secure area; when presence occurs, a signal is sent to start a recording and/or activate an alarm to warn the users. A virtual instrument algorithm application was able to detect objects in a room, recognizing who are residents and who are guests. The functionality of this project with encouraging results obtained provides a flexible security instrument.
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