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Optimizing Camera Placement for Maximum Coverage of Simple Polygons with Holes: Deterministic Approaches and Swarm Intelligence Algorithms

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Engineering Applications of AI and Swarm Intelligence

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Abstract

This research paper addresses the challenge of optimal camera placement to achieve maximum coverage of a simple polygon with holes, a critical aspect in computer vision, the Internet of Things (IoT), and security systems. This problem, correlated with the art gallery problem, represents a fundamental computational geometry challenge. The paper focuses on identifying deterministic methods and applying swarm intelligence algorithms as practical approaches to solving this challenging problem. Deterministic methods provide precision and predictability, while swarm intelligence techniques enable global optimization through collective behavior. In addition to the theoretical overview, the paper presents experimental results demonstrating the success of the proposed methods in various camera placement scenarios. By integrating deterministic and swarm intelligence approaches, this paper improves understanding and practices in camera placement within complex environments.

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Authors and Affiliations

  1. Department of Mathematical and Computer Sciences, University of Sarajevo, Zmaja od Bosne, 33-35, Sarajevo, Bosnia and Herzegovina

    Adis Alihodzic

  2. Trinity University, San Antonio, TX, USA

    Eva Tuba

  3. Singidunum University, Belgrade, Serbia

    Milan Tuba

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  1. Adis Alihodzic
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  2. Eva Tuba
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  3. Milan Tuba
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Correspondence to Adis Alihodzic .

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  1. Department of Design Engineering and Mathematics, Middlesex University, London, UK

    Xin-She Yang

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Alihodzic, A., Tuba, E., Tuba, M. (2025). Optimizing Camera Placement for Maximum Coverage of Simple Polygons with Holes: Deterministic Approaches and Swarm Intelligence Algorithms. In: Yang, XS. (eds) Engineering Applications of AI and Swarm Intelligence. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-97-5979-8_18

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  • DOI: https://doi.org/10.1007/978-981-97-5979-8_18

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