Building space–use analysis system — A multi location/multi sensor platform

Kuipers, Martijn; Tomé, Ana; Pinheiro, Tiago; Nunes, Mário Serafim; Heitor, Teresa

doi:10.1016/j.autcon.2014.07.001

Cited by 16 publications

(3 citation statements)

References 24 publications

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“…In fact, the preponderance of the spatiotemporal dimension of behavior is clearly recognizable in the seminal works architecture and human behavior. For example, it is deeply ingrained in the early categorization of "path behaviors" of Winkel and Sasanoff (1966) to describe occupant movement within a building; in the notion of "behavioral dimensions" proposed by Deasy and Lasswell (1985) to consider the dynamic size of human activities in space; in the idea of "activity shapes" proposed by Gómez et al (2012), to describe distinctive analyses of human activities in aggregated and spatiotemporal terms; in the concept of "space-use" proposed by Kuipers et al (2014) to analyze occupant presence and movement in buildings; and in the Occupant Layout Interaction Analysis (OLIA) methodology proposed by Basarir (2018) to perform occupant movement analysis for spatial layout evaluation.…”

Section: Occupant Behavior In Architecturementioning

confidence: 99%

A Computational Framework for Analyzing Spatial Behavior in Buildings

Loyola,

Meggers

2023

eCAADe Proceedings

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This paper proposes a computational framework specifically formulated for observing and describing occupant behavior in architectural analysis and design. The framework comprises two main elements. First, it includes an architecture-oriented conceptual delimitation of occupant behavior centered on the spatial dimension of human actions. Second, the framework provides a comprehensive set of computational metrics to describe the spatial behavior of building occupants particularly designed for use with physical sensing technologies and computational data analysis techniques. An experimental case study demonstrates the applicability of the framework in the context of analyzing a multifunctional building space.

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Section: Occupant Behavior In Architecturementioning

confidence: 99%

A Computational Framework for Analyzing Spatial Behavior in Buildings

Loyola,

Meggers

2023

eCAADe Proceedings

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“…Gao et al [10] further applied the head detection-based people counting method to crowded classroom surveillance environment. Combing with computer visionbased tracking method, Kuipers et al [11] deployed four cameras in an atrium and carried out several tests to study the dynamics of mobility. However, the above-mentioned research mainly focuses on single distinct camera cases inside partial indoor areas without taking the information fusion between neighboring cameras into account.…”

Section: Related Workmentioning

confidence: 99%

Unveiling personnel movement in a larger indoor area with a non-overlapping multi-camera system

Zhang,

Tao,

Yang

et al. 2021

Preprint

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Surveillance cameras are widely applied for indoor occupancy measurement and human movement perception, which benefit for building energy management and social security. To address the challenges of limited view angle of single camera as well as lacking of inter-camera collaboration, this study presents a non-overlapping multi-camera system to enlarge the surveillance area and devotes to retrieve the same person appeared from different camera views. The system is deployed in an office building and four-day videos are collected. By training a deep convolutional neural network, the proposed system first extracts the appearance feature embeddings of each personal image, which detected from different cameras, for similarity comparison. Then, a stochastic inter-camera transition matrix is associated with appearance feature for further improving the person re-identification ranking results. Finally, a noise-suppression explanation is given for analyzing the matching improvements. This paper expands the scope of indoor movement perception based on non-overlapping multiple

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“…The first one affects service quality by preventing it from developing its full potential, while the latter satisfies service spatial requirements fully but is not efficient economically, since excess space can be considered as a waste of resources. For this reason, buildings must respond to the changing environment by constantly adapting their space-use to the new functional demands (Kuipers, Tomé, Pinheiro, Nunes and Heitor 2014).…”

Section: Introductionmentioning

confidence: 99%