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논문검색

Real-time Tracking and Identification for Multi-Camera Surveillance System

초록

영어

This paper presents a solution for personal profiling system based on user-oriented tracking. Here, we introduce a new way to identify and track humans by using two types of cameras: dome and face camera. Dome camera has a wide view angle so that it is suitable for tracking human movement in large area. However, it is difficult to identify a person only by using dome camera because it only sees the target from above. Thus, face camera is employed to obtain facial information for identifying a person. In addition, we also propose a new mechanism to locate human on targeted location by using grid-cell system. These result in a system which has the capability of maintaining human identity and tracking human activity (movement) effectively.

목차

Abstract
 1. Introduction
 2. Overview
  2.1 System Architecture
  2.2 Hardware Components
  2.3 Software Modules
 3. Human Tracking Implementation
  3.1 Processing Flow
  3.2 Data Structure
  3.3 Server Message Specification
  3.4 User Interface Design
 4. Human Identification
  4.1 Processing Flow
  4.2 Data Structure
  4.3 Server Message Specification
  4.4 User Interface Design
 5. Conclusion
 Acknowledgement
 References

저자정보

  • Yo-Hoon Hong Sechang Instruments, Korea
  • Seung June Song Dae Han Instrument, Korea
  • Jungkyu Rho Dept. of Computer Science, Seokyeong University, Korea

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