English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40649
Visitors : 636965      Online Users : 45
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44091

Title: Human Movement Analysis around a View Circle Using Time-Order Similarity Distributions
Authors: Chi-Hung Chuang
Jun-Wei Hsieh
Hui-Fen Chiang
Yi-Da Chiou
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: Video Surveillance
Centroid Context
Behavior Analysis
View Invariance
View Circle
Date: 2015-07
Issue Date: 2017-11-14T08:17:41Z
Publisher: Journal of Visual Communication and Image Representation Volume
Abstract: Abstract:This paper presents a new behavior classification system to analyze human movements around a view circle using time-order similarity distributions. To maintain the view in-variance, an action is represented not only from its spatial domain but also its temporal domain. After that, a novel alignment scheme is proposed for aligning each action to a fixed view. With the best view, the task of behavior analysis becomes a string matching problem. One novel idea proposed in this paper is to code a posture using not only its best matched key posture but also other unmatched key postures to form various similarity distributions. Then, recognition of two actions becomes a problem of matching two time-order distributions which can be very effectively solved by comparing their KL distance via a dynamic programming scheme.
Relation: 30, pp.22–34
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/44091
Appears in Collections:[資訊工程學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback