J2ME-BASED WIRELESS INTELLIGENT VIDEO SURVEILLANCE SYSTEM USING MOVING OBJECT RECOGNITION TECHNOLOGY

Abstract

A low-cost intelligent mobile phone-based wireless video surveillance solution using moving object
recognition technology is proposed in this paper. The proposed solution can be applied not only to various
security systems, but also to environmental surveillance. Firstly, the basic principle of moving object detecting
is given. Limited by the memory consuming and computing capacity of a mobile phone, a background
subtraction algorithm is presented for adaptation. Then, a self-adaptive background model that can update
automatically and timely to adapt to the slow and slight changes of natural environment is detailed. When the
subtraction of the current captured image and the background reaches a certain threshold, a moving object is
considered to be in the current view, and the mobile phone will automatically notify the central control unit or
the user through phone call, SMS (Short Message System) or other means. The proposed algorithm can be
implemented in an embedded system with little memory consumption and storage space, so it’s feasible for
mobile phones and other embedded platforms, and the proposed solution can be used in constructing mobile
security monitoring system with low-cost hardware and equipments. Based on J2ME (Java2 Micro Edition)
technology, a prototype system was developed using JSR135 (Java Specification Requests 135: Mobile Media
API) andJSR120 (Java Specification Requests 120: Wireless Messaging API) and the test results show the
effectiveness of proposed solution.
The moving object recognition technology led to the development of autonomous systems, which also
minimize the network traffic. With good mobile ability, the system can be deployed rapidly in emergency. And
can be a useful supplement of traditional monitoring system. With the help of J2ME technology, the differences
of various hardware platforms are minimized. All embedded platforms with camera equipped and
JSR135/JSR120 supported can install this system without making any changes to the application.
Also, the system can be extended to a distributed wireless network system. Many terminals work
together, reporting to a control center and receiving commands from the center. Thus, a low-cost wide-area
intelligent video surveillance system can be built. Furthermore, with the development of embedded hardware,
more complex digital image process algorithms can be used to give more kinds of applications in the future.