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Research Paper | Computer Science & Engineering | United States of America | Volume 12 Issue 12, December 2023
Enhancing Surveillance Capabilities: A Low-Cost, Mobile Phone-Based Solution with Moving Object Recognition
Abstract: This study introduces a cost-effective, mobile phone-based surveillance system utilizing moving object recognition technology. The system, designed for both security and environmental monitoring, incorporates a background subtraction algorithm optimized for mobile phone capacities. A self-adaptive background model enhances environmental adaptability. The systems effectiveness is demonstrated through a prototype developed using J2ME technology, highlighting its potential for widespread application in mobile security. Firstly, the basic principles of moving object detection are presented. 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.
Keywords: Mobile phone-based, moving object detecting, background subtraction algorithm, Java to Micro Edition technology, JSR135/JSR120, distributed wireless network system
Edition: Volume 12 Issue 12, December 2023,
Pages: 1010 - 1016