Face detection and image storage on public transport front door with an FPGA based prototype system
Assault and robbery on the public transport is a society problem. Almost every day, people lose their possessions and, in some cases, thieves or citizens get hurt or even die, in the process. In Mexico, attempts to reduce or prevent crime include vigilance by armed agents [1] and video cameras on th...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2009 |
| País: | México |
| Institución: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repositorio: | Repositorio Institucional del INAOE |
| Idioma: | inglés |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/376 |
| Acceso en línea: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/376 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Arrays de puertas programables en campo/Field programmable gate arrays info:eu-repo/classification/Cámaras/Cameras info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/22 info:eu-repo/classification/cti/2203 |
| Sumario: | Assault and robbery on the public transport is a society problem. Almost every day, people lose their possessions and, in some cases, thieves or citizens get hurt or even die, in the process. In Mexico, attempts to reduce or prevent crime include vigilance by armed agents [1] and video cameras on the public transport [2]. The present thesis project objective is to contribute to crime reduction and/or prevention on public transport by having photographic records of people as they get on the bus, using a camera based system. These can be used later when an assault takes place to identify thieve(s). An FPGA is used as the processing device which contains all the necessary logic to obtain the images from the camera, process them to locate the face, extract face region and store them into a Secure Digital (SD) media using an uncompressed BMP file, which could be read by any device which supports it without any special software. To locate face area we used single channel image to extract regional attributes and their inter-regional relationship, resulting in a face detection algorithm with tolerance to skin tones and light conditions. |
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