運用物件色彩辨識及分類方法於即時視訊監控系統

Applying Color Identification and Classification Method of Objects on Real-time Video Surveillance System

莊宗翰(Tsung Han Chuang)

指導教授 ： 郭忠義

國立臺北科技大學/電資學院/資訊工程系研究所/碩士(2011年)

https://doi.org/10.6841/NTUT.2011.00064

摘要

本論文提出一個分析移動物件的色彩辨識及分類方法。本研究使用HSV色彩空間以更明確定義色彩，使用C-means分群演算法化簡每幀影像上的色彩種類，使用統計方法定義每一個物件的代表顏色，並結合資訊回饋、縮圖等方法加快執行速度，以符合即時視訊監控系統的需求。

關鍵字

色彩辨識 ； C-means ； HSV色彩空間 ； 智慧型視訊監控

並列摘要

This paper proposes a color classification and identification methods of moving objects on the real-time video surveillance. HSV color space was used in this study that lets the color more clearly to be defined. Use C-means clustering algorithm to simplify the colors for each frame, and then use statistical methods to define the representative color of each selected object. This paper combines with information feedback, thumbnail, etc. methods to enhance the execution speed to satisfy the requirement of real-time video surveillance.

並列關鍵字

Color recognition ； C-means algorithm ； HSV color space ； Intelligence Video Surveillance

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