局部區域三元化圖型特徵用於移動物件追蹤與辨認

Moving Object Detection and Recognition using Local Ternary Pattern in Surveillance Video

趙芳儀(Fang-Yi Chao)

指導教授 ： 貝蘇章

國立臺灣大學/電機資訊學院/電信工程學研究所/碩士(2016年)

https://doi.org/10.6342/NTU201702825

摘要

局部區域三元化圖型特徵(Local Ternary Pattern)是一種優良的材質描述子，衍伸自局部區域二元化圖型特徵(Local Binary Pattern)，最初於材質分類上有非常良好的應用，其優點如光線變化下的穩定性、旋轉不變性，以及運算方便性使它在往後廣泛應用於移動物體偵測、人臉辨識等。藉由結合這些應用，我們提出一個人臉偵測與辨識的保全系統，可以在監視器畫面中擷取到移動的物體並偵測、辨識其人臉。
此篇論文利用尺度不變局部區域三元化圖型特徵(SILTP)做為材質描述子，因為它在燈光變化以及雜訊干擾的情況下，表現更優於原本的局部區域三元化圖型特徵，使得此保全系統可以在動態背景(如樹影搖曳、窗簾擺動、水花四濺)中正確地擷取移動物體。再利用皮膚偵測尋找可能是人臉的區塊進行人臉辨識。由於移動物體偵測及人臉辨識都使用相同的材質描述子，可增加此保全系統的效率。我們實地拍攝測試影片做實驗並分析討論此系統的優缺點。

關鍵字

局部區域三元化圖型特徵 ； 局部區域二值模式 ； 移動物件偵測 ； 動態背景模型 ； 人臉辨識 ； 保全系統

並列摘要

We propose a method to distinguish moving people in surveillance video by moving object detection, skin detection to extract face area then do face recognition. Local Ternary Pattern (LTP), which is a derivative of Local Binary Pattern, is proven to be a strong yet simple texture descriptor because of its good properties on illumination robustness, rotation invariance and simplicity computation. It can be used in a wide variety of applications such as texture classification, moving object detection and face recognition. By integrating these applications which can be completed by the same texture extraction method, we can make a security system efficient and able to distinguish people in surveillance video.
A derivative of LTP, Scale Invariant Local Ternary Pattern (SILTP) are introduced and used in moving object detection and face recognition. The properties of SILTP make it suitable in illumination variation conditions and dynamic background. By integrating SILTP and other image processing techniques in moving object detection, skin detection and face recognition, a simple security system which can distinguish moving people in surveillance videos are designed. Experiments are conducted with self-shooting fixed focal length video. The performance, advantages and disadvantages are also discussed.

並列關鍵字

Local Ternary Pattern ； Local Binary Pattern ； Moving Object Detection ； Dynamic Background Modeling ； Face Recognition ； Surveillance System

參考文獻

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