By equipping the Pan-Tilt-Zoom (PTZ) capable visualsensor in Wireless visualsensor Networks (WVSN), the visualsensor could move the camera to increase its coverage area. Then, fewer visualsensors will be needed on...
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ISBN:
(纸本)9781479989935
By equipping the Pan-Tilt-Zoom (PTZ) capable visualsensor in Wireless visualsensor Networks (WVSN), the visualsensor could move the camera to increase its coverage area. Then, fewer visualsensors will be needed on deploying the WVSN. Because of the PTZ, the Field of View (FoV) of the sensor is divided into two regions, namely Direct Coverage Region (DCR) and PTZ Coverage Region (PTZCR). The DCR is determined by the camera's depth of field and DCR span angle. The PTZCR is determined by the camera's depth of field and PTZCR span angle. We propose a mathematical model to capture the above requirements in determining the DCR and PTZCR in WVSN. Then the optimization-based heuristics that based on Lagrangean relaxation, call LGR_PTZ, is proposed to solve this problem. From the computational experiments, the LGR_PTZ outperforms the other two heuristics under all tested cases.
In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless visualsensor Networks (WVSN). With the capability of panning, tilting and zooming, the sensorvisual coverage can be e...
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ISBN:
(纸本)9781479937110
In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless visualsensor Networks (WVSN). With the capability of panning, tilting and zooming, the sensorvisual coverage can be enlarged and fewer visualsensors are needed as compared to the traditional WVSN. We divide the Field of View (FoV) of the PTZ sensor into two regions, Direct Coverage Region (DCR) and PTZ Coverage Region (PTZCR). In the PTZCR, the visualsensor need to pan-tilt-zoom the camera angle to cover the object. Because pan-tilt-zoom is a slow mechanic operation, visualsensor might not be able to adjust the angle in time to capture the visual data. One possible way to alleviate this problem is to make sure the PTZCR are covered by M sensors. With large M, there is a high probability of adjusting the camera in time to capture the visual data at the PTZCR by at least one camera. We tackle this visual sensor deployment problem in PTZ WVSN to make sure that each area is either covered in the DCR of a single visualsensor or in the PTZCR of M sensors. Then novel heuristic, PTZA algorithm, is proposed to solve the problem. In the computational experiments, we find out that PTZ capable camera sensor could significantly reduce the number of deployed sensors especially in smaller sensing range and smaller camera span angle.
In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless visualsensor Networks (WVSNs). With PTZ capability, a sensor's visual coverage can be extended to reduce the numbe...
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In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless visualsensor Networks (WVSNs). With PTZ capability, a sensor's visual coverage can be extended to reduce the number of visualsensors that need to be deployed. The coverage zone of a visualsensor in PTZ WVSN is composed of two regions, a Direct Coverage Region (DCR) and a PTZ Coverage Region (PTZCR). In the PTZCR, a visualsensor needs a mechanical pan-tilt-zoom operation to cover an object. This mechanical operation can take seconds, so the sensor might not be able to adjust the camera in time to capture the visual data. In this paper, for the first time, we study this PTZ time-aware PTZ WVSN deployment problem. We formulate this PTZ time-aware PTZ WVSN deployment problem as an optimization problem where the objective is to minimize the total visual sensor deployment cost so that each area is either covered in the DCR or in the PTZCR while considering the PTZ time constraint. The proposed Time Aware Coverage Zone (TACZ) model successfully captures the PTZ visualsensor coverage in terms of camera focal range, angle span zone coverage and camera PTZ time. Then a novel heuristic, called Time Aware deployment with PTZ camera (TADPTZ) algorithm, is proposed to solve the problem. From our computational experiments, we found out that TACZ model outperforms the existing M coverage model under all network scenarios. In addition, as compared to the optimal solutions, the TACZ model is scalable and adaptable to the different PTZ time requirements when deploying large PTZ WVSNs.
In this article, a new concept, radial coverage strength, is first proposed to characterize the visual sensing performance when the orientation of the target pose is considered. In particular, the elevation angle of t...
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In this article, a new concept, radial coverage strength, is first proposed to characterize the visual sensing performance when the orientation of the target pose is considered. In particular, the elevation angle of the optical pose of the visualsensor is taken to decompose the visual coverage strength into effective and ineffective components, motivated by the imaging intuition. An optimization problem is then formulated for a monocular multicamera network to maximize the coverage of the object area based on the strength information fusion along the effective coverage strength direction through the deployment of the angle between radial coverage vector of the camera optical pose. Both simulation and experiments are conducted to validate the proposed approach and comparison with existing methods is also provided.
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