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IMAGE FUSION - P2

Một đại diện tổ chức của EBI2M có thể được hợp lý ánh xạ trong năm cấp độ tiến hóa thể hiện trong hình 2. Mỗi mức độ trưởng thành là một điều kiện tiên quyết để một cao hơn. Do đó mỗi mức độ trưởng thành cao hơn bao gồm tất cả thấp hơn mức trước đó. Ví dụ, một công ty cấp mức độ trưởng thành 3 bao trùm những yếu tố quan trọng của cấp độ 1 và 2. Các đại diện liên tục bao gồm kích thước 13: quản lý thay đổi, văn hóa tổ chức, quản lý chiến lược, con. | Part 2 Advanced Application and Utility of Image Fusion Technology 12 Fusion of Infrared and Visible Images for Robust Person Detection Thi Thi Zin Hideya Takahashi Takashi Toriu and Hiromitsu Hama Graduate School of Engineering Osaka City University Osaka 558-8585 Japan 1. Introduction In the current context of increased surveillance and security more sophisticated and robust surveillance systems are needed. One idea relies on the use of pairs of video visible spectrum and thermal infrared IR cameras located around premises of interest. To automate the system a robust person detection algorithm and the development of an efficient technique enabling the fusion of the information provided by the two sensors becomes necessary and these are described in this chapter. Recently multi-sensor based image fusion system is a challenging task and fundamental to several modern day image processing applications such as security systems defence applications and intelligent machines. Image fusion techniques have been actively investigated and have wide application in various fields. It is often a vital pre-processing procedure to many computer vision and image processing tasks which are dependent on the acquisition of imaging data via sensors such as IR and visible. One such task is that of human detection. To detect humans with an artificial system is difficult for a number of reasons as shown in Figure 1 Gavrila 2001 . The main challenge for a vision-based pedestrian detector is the high degree of variability with the human appearance due to articulated motion body size partial occlusion inconsistent cloth texture highly cluttered backgrounds and changing lighting conditions. Fig. 1. Typical dangerous situation - A child suddenly crossing the street Moreover the applications to protect pedestrians define hard real-time requirements and rigid performance criteria. In night-time environment only limited visual information .