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A design framework for ISFAR: (an intelligent surveillance system with face recognition).

Chan, Fai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 104-108). / Abstracts in English and Chinese. / Chapter 1. --- Introduction --- p.14 / Chapter 1.1. --- Background --- p.14 / Chapter 1.1.1. --- Introduction to Intelligent Surveillance System (ISS) --- p.14 / Chapter 1.1.2. --- Typical architecture of Surveillance System --- p.17 / Chapter 1.1.3. --- Single-camera vs Multi-camera Surveillance System --- p.17 / Chapter 1.1.4. --- Intelligent Surveillance System with Face Recognition (ISFAR) --- p.20 / Chapter 1.1.5. --- Minimal requirements for automatic Face Recognition --- p.21 / Chapter 1.2. --- Motivation --- p.22 / Chapter 1.3. --- Major Contributions --- p.26 / Chapter 1.3.1. --- A unified design framework for IS FAR --- p.26 / Chapter 1.3.2. --- Prototyping of IS FAR (ISFARO) --- p.29 / Chapter 1.3.3. --- Evaluation of ISFARO --- p.29 / Chapter 1.4. --- Thesis Organization --- p.30 / Chapter 2. --- Related Works --- p.31 / Chapter 2.1. --- Distant Human Identification (DHID) --- p.31 / Chapter 2.2. --- Distant Targets Identification System --- p.33 / Chapter 2.3. --- Virtual Vision System with Camera Scheduling --- p.35 / Chapter 3. --- A unified design framework for IS FAR --- p.37 / Chapter 3.1. --- Camera system modeling --- p.40 / Chapter 3.1.1. --- Stereo Triangulation (Human face location estimation) --- p.40 / Chapter 3.1.2. --- Camera system calibration --- p.42 / Chapter 3.2. --- Human face detection --- p.44 / Chapter 3.3. --- Human face tracking --- p.46 / Chapter 3.4. --- Human face correspondence --- p.50 / Chapter 3.4.1. --- Information consistency in stereo triangulation --- p.51 / Chapter 3.4.2. --- Proposed object correspondent algorithm --- p.52 / Chapter 3.5. --- Human face location and velocity estimation --- p.57 / Chapter 3.6. --- Human-Camera Synchronization --- p.58 / Chapter 3.6.1. --- Controlling a PTZ Camera for capturing human facial images --- p.60 / Chapter 3.6.2. --- Mathematical Formulation of the Human Face Capturing Problem --- p.61 / Chapter 4. --- Prototyping of lSFAR (ISFARO) --- p.64 / Chapter 4.1. --- Experiment Setup --- p.64 / Chapter 4.2. --- Speed of the PTZ camera 一 AXIS 213 PTZ --- p.67 / Chapter 4.3. --- Performance of human face detection and tracking --- p.68 / Chapter 4.4. --- Performance of human face correspondence --- p.72 / Chapter 4.5. --- Performance of human face location estimation --- p.74 / Chapter 4.6. --- Stability test of the Human-Camera Synchronization model --- p.75 / Chapter 4.7. --- Performance of ISFARO in capturing human facial images --- p.76 / Chapter 4.8. --- System Profiling of ISFARO --- p.79 / Chapter 4.9. --- Summary --- p.79 / Chapter 5. --- Improvements to ISFARO --- p.80 / Chapter 5.1. --- System Dynamics oflSFAR --- p.80 / Chapter 5.2. --- Proposed improvements to ISFARO --- p.82 / Chapter 5.2.1. --- Semi-automatic camera system calibration --- p.82 / Chapter 5.2.2. --- Velocity estimation using Kalman filter --- p.83 / Chapter 5.2.3. --- Reduction in PTZ camera delay --- p.87 / Chapter 5.2.4. --- Compensation of image blurriness due to motion from human --- p.89 / Chapter 5.3. --- Experiment Setup --- p.91 / Chapter 5.4. --- Performance of human face location estimation --- p.91 / Chapter 5.5. --- Speed of the PTZ Camera - SONY SNC RX-570 --- p.93 / Chapter 5.6. --- Performance of human face velocity estimation --- p.95 / Chapter 5.7. --- Performance of improved ISFARO in capturing human facial images --- p.99 / Chapter 6. --- Conclusions --- p.101 / Chapter 7. --- Bibliography --- p.104

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_326526
Date January 2008
ContributorsChan, Fai., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 108 leaves : col. ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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