Abstract
India’s focus on smart urban environments opens an opportunity to evaluate the applicability of technological advancements. This also however brings new challenges home, with safety being the foremost. There is dire need to monitor common public spaces in urban setup with surveillance cameras to address safety concerns. One of the main issue that is faced in camera surveillance is choosing locations to ensure the maximum possible coverage. This was achieved through visibility analysis of urban environment. UAV data provides higher spatial resolution and hence detailed information is obtained from it. Such a data is especially useful in urban areas where there is a need for precise analysis of the urban landscape for various applications. Better inclusion of vegetation is expected with elevation models and point cloud data which is generally neglected in the crude 3D models. Dense point cloud which was obtained from the UAV data and its surface reconstruction was used for analysing visible spaces. Analysis of visibility maps has been done from the isovists generated for each vantage point (camera placement) with ray tracing method.
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Acknowledgements
The authors would like to express their gratitude to Terra Drone Ind pvt ltd for providing required input for completion of this project. The authors would like to thank Dr. Peter Bus whose valuable lessons available on the open platforms online helped us in understanding important concepts. These important concepts helped us in adopting the methodology used in the work. The authors also thank all the faculty members and fellow people for their valuable suggestions.
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Gaju, D., Pratap, D. (2020). Placement Optimization of Surveillance Cameras: Visibility Analysis. In: Jain, K., Khoshelham, K., Zhu, X., Tiwari, A. (eds) Proceedings of UASG 2019. UASG 2019. Lecture Notes in Civil Engineering, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-030-37393-1_12
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