Camera detection through internet of video sensors
Author(s) -
Tao Gao,
Guo Li,
Ping Wang,
Chengshan Wang
Publication year - 2013
Publication title -
international journal of multimedia intelligence and security
Language(s) - English
Resource type - Journals
eISSN - 2042-3470
pISSN - 2042-3462
DOI - 10.1504/ijmis.2013.056466
Subject(s) - the internet , computer science , computer vision , computer graphics (images) , video camera , artificial intelligence , world wide web
This paper describes the image pattern recognition techniques provided by the internet of things used to observe vehicles as well as the detection techniques used to tie each frame’s pattern recognition results together. Adaboost detection and wireless networks are used for video supervision. For wireless system, a camera that can transmit video signal to a receiver or to a wireless router without using any cable in between. The Wi-Fi technologies are used to transfer detection results which are located at the same base station. The experimental results prove the classifiers to be more efficient, and demonstrate superior classification performance of the proposed method, and the WSN frame has simple computational process, which can be easily used in real environments.
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