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A Visual Monitoring System Using Wide-Angle Cameras and Pan-Tilt Camera
Date Issued
2004
Date
2004
Author(s)
Li, Tzu-Yang
DOI
en-US
Abstract
Visual monitoring systems will play a more and more important role in our daily life. Traditional Close Circuit Television System (CCTV) sets cameras in many key positions, and need a guard to keep an eye on the videos of those cameras. In this work, we developed a fully automatic visual monitoring system that can be set up with a simple method. Utilize the properties of the wide-angle cameras and of the pan-tilt camera (PT-camera), i.e., large view field of wide-angle cameras and high-resolution images of PT-cameras, we can design a real-time visual monitoring system having high detection rate and clear target images. Important methods used in this system include the following: (1) Camera calibration: First, we estimate the intrinsic camera parameters using a camera calibration method that require simply placing a 2D calibration plane at different positions. Then, we use a cross rig having calibration markers, each marker with known 3D position, to estimate the extrinsic parameters between cameras. (2) Moving object detection: For the wide-angle cameras, Gaussian mixture is used to update the background model in real-time, which is then used to detect objects different from the background. (3) Object tracking: For the PT-camera, we use the mean-shift algorithm to keep track of the target. (4) Face detection: A cascade of boosted classifiers, working with Haar-like features, is used to obtain fast and accurate face detection. In the experiments, we combine the detection and tracking methods together to reliably fixate the PT-camera on the object. One single person can easily set up the whole system and calibrate all cameras. Our experiments showed that, when there is only one moving object in the monitoring area, our system could track the object successfully.
Subjects
攝影機校正
視訊監控系統
影像分析
物件偵測
追蹤
Image Analysis
Visual Monitoring System
Tracking
Object Detection
Camera Calibration
Type
thesis
File(s)
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Name
ntu-93-R91922112-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):7d07f2d52eae057f8f728852c519e5bd