Title :
A Review on Vision Surveillance Techniques in Smart Home Environments
Author :
Brezovan, Marius ; Badica, Costin
Author_Institution :
Dept. of Comput. & Inf. Technol., Univ. of Craiova, Craiova, Romania
Abstract :
Video surveillance is an important area of computer vision research, its applications including both outdoor and indoor automated surveillance systems. In the context of smart home environments, the In-House Video Surveillance systems have as main goal to control the safety and the security of materials and of people living in a domestic environment. This paper provides an overview of various methods and techniques from the computer vision research area that address the problems of representation, recognition and learning of events, actions and activities of inhabitants from a domotic environment.
Keywords :
home computing; image representation; learning (artificial intelligence); object recognition; video surveillance; computer vision research; domotic environment; event learning; event recognition; event representation; in-house video surveillance systems; indoor automated surveillance systems; inhabitant action; inhabitant activity; outdoor automated surveillance systems; smart home environments; video surveillance; vision surveillance techniques; Feature extraction; Grammar; Hidden Markov models; Smart homes; Tracking; Video surveillance; ambient assisted living; smart home environments; video surveillance;
Conference_Titel :
Control Systems and Computer Science (CSCS), 2013 19th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-6140-8
DOI :
10.1109/CSCS.2013.30