Computer vision of mobility: towards a space-use analysis method

Ana Tomé, Teresa Heitor and Mário Nunes

Environment and Planning B, 2015, vol. 42, issue 5, 830-856

Abstract: This study examines the role of computer vision to collect space-use data, with the goal of building a computational tool that supports space-use analysis better than those in current use. In the past, research on space use was predicated on selective samples and labour-intense fieldwork, mainly through direct observations that were often inaccurate through necessity. Computer vision technology allows space use to be monitored, represented, and quantified in ways not considered before, minimising errors and bias that can affect reliability and validity. The careful use of the technological potential of computer vision opens up new ways of identifying phenomena, becoming aware of systematic patterns and regularities and inquiring further into the degree of congruence between the physical organisation of layouts and patterns of space use.

Keywords: space-use analysis; computer vision; movement patterns; occupancy patterns; movement/occupancy indices; space syntax (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:42:y:2015:i:5:p:830-856

DOI: 10.1177/0265813515599512

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