Object trajectory-based activity classification and recognition using hidden markov models
- Author
- BASHIR, Faisal I1 ; KHOKHAR, Ashfaq A2 ; SCHONFELD, Dan2
[1] Retica Systems, Inc, Waltham, MA 01801, United States
[2] Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607, United States - Source
IEEE transactions on image processing. 2007, Vol 16, Num 7, pp 1912-1919, 8 p ; ref : 48 ref
- ISSN
- 1057-7149
- Scientific domain
- Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Activity recognition Gaussian mixture models (GMMs) hidden Markov models (HMMs) trajectory modeling
- Keyword (fr)
- Algorithme Analyse composante principale Approche probabiliste Archive Base donnée Communication multimédia Ergodicité Fonction densité probabilité Modèle Markov variable cachée Modélisation Méthode statistique Orienté objet Point changement Processus Gauss Théorie mélange
- Keyword (en)
- Algorithm Principal component analysis Probabilistic approach Archive Database Multimedia communication Ergodicity Probability density function Hidden Markov models Modeling Statistical method Object oriented Change point Gaussian process Mixture theory
- Keyword (es)
- Algoritmo Análisis componente principal Enfoque probabilista Archivo Base dato Ergodicidad Función densidad probabilidad Modelización Método estadístico Orientado objeto Punto cambio Proceso Gauss Teoría mezcla
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18858716
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TIP.2007.898960 
https://dx.doi.org/10.1109/TIP.2007.898960
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