Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory
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DOI：
10.1109/tcsvt.2019.2915103
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发表时间：
2020-07-01
影响因子：
8.4
通讯作者：
Kankanhalli, Mohan S.
中科院分区：
文献类型：
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作者：
Rawat, Yogesh Singh;Shah, Mubarak;Kankanhalli, Mohan S.
动物通过一种保持健康的决策策略在环境中寻找食物。最优觅食理论对这种觅食行为进行建模，以确定动物遵循的最优决策策略。这一理论已经成功地应用于人类搜索信息的过程中，被称为信息觅食。当人们参观一个旅游景点时，他们会遵循类似的策略，从一个地点移动到另一个地点，并通过拍摄照片来收集信息。这种行为与研究人员广泛研究的动物觅食行为有相似之处。在本文中，我们建议使用最优觅食理论来帮助游客探索一个地点并以最优的方式拍摄照片。我们确定了游客的决策策略，该策略提供了一个旅游景点的列表，以及相应的停留时间。最后，我们解决了一个优化问题，找到了一条通过这些景点的路径，供游客遵循。在公共数据集上的实验结果证明了该方法的有效性。(1)(1)代码可在https://github.com/vyzuer/foraging_theory获得
Animals search for food in their environment with a decision strategy which keeps them fit. Optimal foraging theory models this foraging behavior to determine the optimal decision strategy followed by animals. This theory has been successfully applied for humans as they search for information and is termed as information foraging. When people visit a tourist location, they follow a similar strategy to move from one spot to another, and collect information by capturing photographs. This behavior has similarities with the foraging behavior of animals which has been widely studied by the researchers. In this paper, we propose to employ optimal foraging theory to help tourists explore a location and capture photographs in an optimal way. We determine a decision strategy for tourist which provides a list of interesting spots to visit in a tourist location along with corresponding stay time. Finally, we solve an optimization problem to find a path through these spots which can be followed by tourists. The experimental results on a public dataset demonstrate the effectiveness of the proposed method. (1) (1) Code available at https://github.com/vyzuer/foraging_theory