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PTZ Camera-Based Displacement Sensor System with Perspective Distortion Correction Unit for Early Detection of Building Destruction

View Article: PubMed Central - PubMed

ABSTRACT

This paper presents a pan-tilt-zoom (PTZ) camera-based displacement measurement system, specially based on the perspective distortion correction technique for the early detection of building destruction. The proposed PTZ-based vision system rotates the camera to monitor the specific targets from various distances and controls the zoom level of the lens for a constant field of view (FOV). The proposed approach adopts perspective distortion correction to expand the measurable range in monitoring the displacement of the target structure. The implemented system successfully obtains the displacement information in structures, which is not easily accessible on the remote site. We manually measured the displacement acquired from markers which is attached on a sample of structures covering a wide geographic region. Our approach using a PTZ-based camera reduces the perspective distortion, so that the improved system could overcome limitations of previous works related to displacement measurement. Evaluation results show that a PTZ-based displacement sensor system with the proposed distortion correction unit is possibly a cost effective and easy-to-install solution for commercialization.

No MeSH data available.


Process of the Otsu threshold method.
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sensors-17-00430-f007: Process of the Otsu threshold method.

Mentions: This process is depicted in Figure 7. Firstly, Figure 7a,b show the gray-scale conversions of Figure 6. Next, as shown in the histograms represented in Figure 7c,d, the gray-scale images have two main distributions. The performance effectiveness of the segmentation is directly related to how the threshold value is determined considering these two main distributions, which we suggest can best be determined by applying the Otsu threshold method.


PTZ Camera-Based Displacement Sensor System with Perspective Distortion Correction Unit for Early Detection of Building Destruction
Process of the Otsu threshold method.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5375716&req=5

sensors-17-00430-f007: Process of the Otsu threshold method.
Mentions: This process is depicted in Figure 7. Firstly, Figure 7a,b show the gray-scale conversions of Figure 6. Next, as shown in the histograms represented in Figure 7c,d, the gray-scale images have two main distributions. The performance effectiveness of the segmentation is directly related to how the threshold value is determined considering these two main distributions, which we suggest can best be determined by applying the Otsu threshold method.

View Article: PubMed Central - PubMed

ABSTRACT

This paper presents a pan-tilt-zoom (PTZ) camera-based displacement measurement system, specially based on the perspective distortion correction technique for the early detection of building destruction. The proposed PTZ-based vision system rotates the camera to monitor the specific targets from various distances and controls the zoom level of the lens for a constant field of view (FOV). The proposed approach adopts perspective distortion correction to expand the measurable range in monitoring the displacement of the target structure. The implemented system successfully obtains the displacement information in structures, which is not easily accessible on the remote site. We manually measured the displacement acquired from markers which is attached on a sample of structures covering a wide geographic region. Our approach using a PTZ-based camera reduces the perspective distortion, so that the improved system could overcome limitations of previous works related to displacement measurement. Evaluation results show that a PTZ-based displacement sensor system with the proposed distortion correction unit is possibly a cost effective and easy-to-install solution for commercialization.

No MeSH data available.