Human movement analysis around a view circle using time-order similarity distributions
| Autor: | Hui-Fen Chiang, Jun-Wei Hsieh, Yi-Da Chiou, Chi-Hung Chuang |
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| Rok vydání: | 2015 |
| Předmět: |
Similarity (geometry)
Kullback–Leibler divergence Matching (graph theory) Property (programming) business.industry String searching algorithm Domain (software engineering) Dynamic programming Signal Processing Media Technology Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Hidden Markov model Algorithm Mathematics |
| Zdroj: | Journal of Visual Communication and Image Representation. 30:22-34 |
| ISSN: | 1047-3203 |
| DOI: | 10.1016/j.jvcir.2015.02.003 |
| Popis: | We propose a novel scheme for view-changeable action event analysis.A view alignment scheme is proposed for action analysis around a view circle.A property of mirror symmetry is proposed for reducing the whole view space.A novel time-order similarity distribution matrix is proposed for robust event analysis. 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. |
| Databáze: | OpenAIRE |
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