Multi-Angle Hand Posture Recognition Based on Hierarchical Temporal Memory

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Title:	Multi-Angle Hand Posture Recognition Based on Hierarchical Temporal Memory
Authors:	黃雅軒 huang, yea-shuan
Contributors:	資訊工程學系 Computer Science & Information Engineering
Keywords:	階層式時序記憶;多角度手勢辨識
Date:	2012
Issue Date:	2014-06-27 01:46:22 (UTC+8)
Abstract:	在圖形辨識的各種應用中，角度變化一直都是影響辨識效果的主要因素。為了提高角度變化的容忍能力，本論文使用了階層式時序記憶 (Hierarchical Temporal Memory, HTM) 演算法。此演算法的特性乃是藉由時間性的概念，將時間上的連續變化影像特徵進行歸納，構成”不變性特徵”，因而可以克服角度變化的影響。本論文所提出的多角度手勢辨識方法，主要包含手勢影像前處理和手勢辨識兩個模組。在手勢影像前處理模組方面，輸入影像個別經由膚色偵測、背景分離和邊緣偵測等處理；然後，將上述三種處理的輸出結果，藉由 In the field of pattern recognition, angle variation plays an important role in producing effective recognition results. To overcome the angle variation problems, this paper adopts the Hierarchical Temporal Memory (HTM) algorithm. Based on the inherent pr
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Articles

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