基於多重亮度紅外線照明之夜間車牌及人臉辨識系統

Nighttime License Plate and Human Face Recognition Based on Multi-Intensity IR Illumination

邱仲毅(Zhong-Yi Qiu)

指導教授 ： 莊仁輝

國立交通大學/資訊學院/資訊科學與工程研究所/碩士(2016年)

摘要

夜間監控變得越來越普及，而車牌辨識和人臉辨識是夜間監控的重要功能。然而夜間影像常常會因為光源不足、過曝以及逆光等情況變得不清楚，為了解決這些問題，我們使用多重亮度紅外線打光器來補助夜視攝影提供不同亮度的影像。由於多重亮度紅外線攝影會產生不同亮度的影像導致有不同結果，所以分析這些結果並整合為一即為本論文研究之目的。實驗結果顯示，多重亮度照明確實有助於提升夜間車牌辨識及人臉辨識的辨識率。

關鍵字

夜視監控 ； 車牌辨識 ； 人臉偵測

並列摘要

Nighttime video surveillance has become more and more popular. License plate recognition and face recognition are two important applications in nighttime video surveillance. However, nighttime videos are unclear due to insufficient illumination at far distance, overexposure at near distance and backlight situation. To solve these problems, we adopt a new multi-intensity infrared illuminator as a supportive light source to provide multiple illumination levels. Because there are imaging results with multiple intensities, analyzing and integrating these results is the purpose of this thesis. Experiment results show that multi-intensity infrared illumination can indeed improve the performance of license plate recognition and face recognition.

並列關鍵字

Nighttime surveillance ； License plate recognition ； Face detection

參考文獻

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