如何有效地區域覆蓋在攝影機感測網路中一直是十分重要的議題，不過大部分文獻都只考慮到如何覆蓋，卻沒有考慮到攝影機擺放的方向，使得即使攝影機覆蓋住目標物，也無法保證辨識目標物的身分，喪失了攝影機可以取得目標物影像資訊的特性。因此，本篇論文提出了區域覆蓋影像辨識(Full-View Area Coverage, FVAC)機制以有效地區域覆蓋並辨識目標物的影像。在FVAC中，我們會先以有效角的大小決定安全區域與不安全區域的範圍，再將攝影機感測器依照四方形方格的方式進行先決式的部署，攝影機感測器部署會依照安全區域與不安全區域來做調整，依照不同的有效角與感測半徑我們推導出一數學公式來計算攝影機感測器之間的距離。在效能分析中，我們所提出的FVAC與相關論文的比較可以發現，在較小的有效角或是感測半徑較短的情況下，都可以有效的減少所使用的攝影機感測器數目，並達成目標物辨識的目的。 How to effectively cover the region in the camera sensor networks has been a very important issue. However, most of the literature only consider how to cover, but did not take into account the direction of the camera display, so that even if the camera is covered object cannot guarantee that personally identifiable target, the loss of the camera properties can be obtained object image information. Therefore, this paper presents Full-View Area Coverage (FVAC) mechanism to effectively cover the region and identify the object. In FVAC, we will first determine the size of the safe region and unsafe region with effective angle. Then the camera sensor be deployed. in accordance with the square grid model Deployment will be adjusted in accordance with the safe and unsafe region. In the efficacy analysis, we proposed FVAC comparison with related papers can be found at smaller effective angle or shorter sensing radius, can effectively reduce the number of camera sensors used, and to achieve the purpose of identification.
