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Erschienen in:
2012 | OriginalPaper | Buchkapitel
An Intelligent Surveillance System Base on Accelerated Human and Face Detection
verfasst von : Song XiaoFeng, Xie Di, Chen Deren, Zhang Weize, Tong RuoFeng
Erschienen in: Software Engineering and Knowledge Engineering: Theory and Practice
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a system to acquire high resolution face image of a human in surveillance scene. Firstly, the system detects a full or partially occluded human body in the scene and zooms in to it automatically. And then a face detection and zooming process is running. Finally, a high resolution face image is captured and saved. The system can run real-time as the algorithms are accelerated by multi-core CPU and GPU. Experiments show that the system can capture most high resolution face image of human in the scene and can be implemented in the real surveillance systems. Our system provides an alternative method with better result to acquire high resolution face image comparing to face super-resolution methods.