Multi Camera for Surveillance System Ground Detection and 3D Reconstruction
@article{Yongzhe2015MultiCF, title={Multi Camera for Surveillance System Ground Detection and 3D Reconstruction}, author={Xu Yongzhe and Byungsoo Lee}, journal={International Journal of Smart Home}, year={2015}, volume={9}, pages={103-110} }
In this paper, a method for detection ground coordinate to surveillance camera system in a real-time. video capture information from surveillance camera system with SFM(stricter from motion) algorithm presented. 3D reconstruction is rebuilding 3D geometric from multi 2d images. Researcher focus on 3D recognize and matching algorithm. 1 st surveillance camera system detection ground mark image. 2 nd matching image pattern and compute mark image coordinate information, 3 rd compute information…Â
Figures from this paper
One Citation
DEPLOYMENT OF MULTIPLE VISUAL DEVICES FOR 3 D SURVEILLANCE OF BIG STRUCTURE
- Computer Science
- 2016
This study tried to develop a cost-efficient deployment plan of visual devices for 3D surveillance of big structure in AR and VR using a 2-dimentional floor plan of structure and available installation area.
References
SHOWING 1-10 OF 20 REFERENCES
Detecting abandoned packages in a multi-camera video surveillance system
- Computer ScienceProceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.
- 2003
A video surveillance system that detects abandoned packages automatically, which highlights object association using multiple cameras and the multiple-state abandoned package model, and detection of the event of a package being abandoned.
Real-time wide area multi-camera stereo tracking
- Computer Science2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
- 2005
A ground-based fusion method for camera handoff using space-time constraint is developed and a stereo segmentation and tracking techniques to handle multiple humans moving in groups in cluttered environments are proposed.
Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-Mounted Camera
- Computer Science2013 IEEE Conference on Computer Vision and Pattern Recognition
- 2013
The proposed method is compared with the methods that use multi-view stereo to reconstruct the scene structures of the two time points and then differentiate them to detect changes, and the experimental results show that the proposed method outperforms such MVS-based methods.
Multi-camera 3D scene reconstruction from vanishing points
- Computer Science2010 IEEE International Conference on Imaging Systems and Techniques
- 2010
The 3D scene reconstruction by concurrent multiple views from the distinct cameras located at the upper corners of a room for volume calculation of objects in everyday indoor environments shows that the volume computation is very accurate and reasonably time consuming.
Robust ground plane detection for obstacle avoidance of mobile robots using a monocular camera
- Engineering2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
- 2010
Practical experimental results of a wheeled mobile robot show that the proposed imaging system successfully estimates distance of objects and avoid obstacles in an indoor environment.
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
- Computer Science2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)
- 2006
This paper first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties, then describes the process for acquiring and calibrating multiview image datasets with high-accuracy ground truth and introduces the evaluation methodology.
Robust tracking-by-detection using a detector confidence particle filter
- Computer Science2009 IEEE 12th International Conference on Computer Vision
- 2009
A novel approach for multi-person tracking-by-detection in a particle filtering framework that uses the continuous confidence of pedestrian detectors and online trained, instance-specific classifiers as a graded observation model, which relies only on information from the past and is suitable for online applications.
Foreground segmentation using adaptive mixture models in color and depth
- Computer ScienceProceedings IEEE Workshop on Detection and Recognition of Events in Video
- 2001
A method for modeling the background that uses per-pixel, time-adaptive, Gaussian mixtures in the combined input space of depth and luminance-invariant color is proposed, making it well-suited for a wide range of practical applications in video event detection and recognition.
ViRoom - Low Cost Synchronized Multicamera System and Its Self-calibration
- Computer ScienceDAGM-Symposium
- 2002
This paper presents a multicamera Visual Room (ViRoom), constructed from low-cost digital cameras and standard computers running on Linux and a fully automatic self-calibration method for multiple cameras and without any known calibration object.
A dense stereo matching using two-pass dynamic programming with generalized ground control points
- Computer Science2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
- 2005
By employing a two-pass dynamic programming technique that performs optimization both along and across the scanlines, the typical inter-scanline inconsistency problem is solved and the stability and efficiency of the optimization are improved significantly.