Result: Silhouette-based method for object classification and human action recognition in video
Title:
Silhouette-based method for object classification and human action recognition in video
Source:
Computer vision in human-computer interaction (ECCV 2006 workshop on HCI, Graz, Austria, May 13, 2006)0HCI 2006. :64-77
Publisher Information:
Berlin; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 27 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme apprentissage, Learning algorithm, Algoritmo aprendizaje, Appariement image, Image matching, Apprentissage supervisé, Supervised learning, Aprendizaje supervisado, Classification, Clasificación, Concordance forme, Pattern matching, Condition stationnaire, Stationary condition, Condición estacionaria, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Interface utilisateur, User interface, Interfase usuario, Locomotion avec jambes, Legged locomotion, Marche à pied, Walking, Caminata, Modélisation, Modeling, Modelización, Monitorage, Monitoring, Monitoreo, Méthode adaptative, Adaptive method, Método adaptativo, Orienté objet, Object oriented, Orientado objeto, Segmentation, Segmentación, Signal vidéo, Video signal, Señal video, Surveillance, Vigilancia, Système intelligent, Intelligent system, Sistema inteligente, Système temps réel, Real time system, Sistema tiempo real, Vision ordinateur, Computer vision, Visión ordenador, Silhouette, Silueta
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Bilkent University, Department of Computer Engineering, Turkey
Department of Electrical and Electronics Engineering, 06800, Bilkent, Ankara, Turkey
Department of Electrical and Electronics Engineering, 06800, Bilkent, Ankara, Turkey
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
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
CC BY 4.0
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
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19150860
Database:
PASCAL Archive
Further Information
In this paper we present an instance based machine learning algorithm and system for real-time object classification and human action recognition which can help to build intelligent surveillance systems. The proposed method makes use of object silhouettes to classify objects and actions of humans present in a scene monitored by a stationary camera. An adaptive background subtracttion model is used for object segmentation. Template matching based supervised learning method is adopted to classify objects into classes like human, human group and vehicle; and human actions into predefined classes like walking, boxing and kicking by making use of object silhouettes.