Title: Camera detection through internet of video sensors

Authors: Tao Gao; Guo Li; Ping Wang; Chengshan Wang

Addresses: School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China; Hebei Electronic Information Products Supervision and Inspection Institute, Shijiazhuang 050071, China; Industry and Information Technology Department of Hebei Province, Shijiazhuang 050051, China ' School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China ' School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China ' School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China

Abstract: 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.

Keywords: internet of things; wi-fi technologies; Adaboost; object detection; wireless sensor networks; WSNs; camera detection; video sensors; image recognition; pattern recognition; classification accuracy; video-based supervision; wireless LANs; local area networks; WLANs; pervasive computing.

DOI: 10.1504/IJMIS.2013.056466

International Journal of Multimedia Intelligence and Security, 2013 Vol.3 No.1, pp.51 - 62

Received: 12 Oct 2011
Accepted: 25 Jan 2012
Published online: 26 Jul 2014 *