A PTZ camera based people-occupancy estimation system (PCBPOES)

Chandran, Arun; Subramaniam, Aravind; Wong, Wai Choong; Yang, Junjing; Chaturvedi, Karn Ashokkumar

doi:10.23919/mva.2017.7986822

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…The study was based on CNN establishing an endto-end building-space staff-load dynamic-estimation model to realize real-time detection of the number of indoor personnel and estimate personnel changes. Chandran et al [74] proposed a single PTZ Camera Based People-Occupancy Estimation System (PCBPOES). In this method, the PTZ camera conducted effective surveillance by dividing the area into multiple areas, and detecting people's heads to estimate the number of people in the area.…”

Section: Cameramentioning

confidence: 99%

“…Finally, the number of people in the crowd flow can be obtained without specific environment calibration. Chandran et al [74] uses a cascade detector of SVM to detect human heads. In contrast to some machine learning methods, the SVM method works well with high-dimensional data and it is very fast in prediction since the model is affected by only a small number of support vectors [81].…”

Section: Svmmentioning

confidence: 99%

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A State of Art Review on Methodologies of Occupancy Estimating in Buildings from 2011 to 2021

Zhao

Liang

et al. 2022

Electronics

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Occupancy information is important to building facility managers in terms of building energy efficiency, indoor environmental quality, comfort conditions, and safety management of buildings. When combing the distribution characteristics of the literature, it is found that the field of estimating occupancy counts is a very active area. Researchers from various countries have undertaken extensive explorations to obtain more research results. In this survey, the commonly used occupancy measurement systems and algorithms are described. Through the analysis and research of different occupancy measurement systems and algorithms, their advantages, disadvantages, and limitations are summarized, so that researchers can use them selectively. As for how to choose the method of estimating occupancy counts, suggestions are given in terms of the range of people, accuracy, cost, and privacy. There are still many pressing issues relating to high-density crowd occupancy counting, complex environmental impact, and system robustness. According to the current research progress and technology development trend, the possible future research directions are pointed out. The innovation of this review is the quantitative analysis of the selection of occupancy measurement systems for different ranges of people, and the occupancy counting accuracy situation of different measurement systems and algorithms. It provides more informed opinions on the selection of practical applications. It can be used by other researchers as a starting point for their research and/or project work.

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Section: Cameramentioning

confidence: 99%

Section: Svmmentioning

confidence: 99%

A State of Art Review on Methodologies of Occupancy Estimating in Buildings from 2011 to 2021

Zhao

Liang

et al. 2022

Electronics

View full text Add to dashboard Cite

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“…T HERE is increasing interest in 3D optical measurements (azimuth, altitude and range) for applications ranging from automotive lidar [1], [2], to manufacturing processes [3], [4], occupancy detection [5], and healthcare [6]. System requirements including: range; resolution; field-of-view; ambient light rejection; multi-target array detection capability; power consumption; and eye safety vary across these applications.…”

Section: Introductionmentioning

confidence: 99%

Indoor Lidar Plenoptic Array Based on Time-of-Flight Reflection

et al. 2022

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Improved energy efficiency and the associated cost savings is critical for environmental stewardship. In heating, ventilation, and cooling (HVAC) systems, occupancy sensors play an important role in system control for energy conservation. This paper introduces an integrated plenoptic device/people occupancy counting sensor for time-of-flight (ToF) measurements based on grating-coupled-waveguide, angularly resolved detection. Light from a 940 nm laser source is scattered from objects up to 5-m distant. The acceptance angle for scattered light is determined by the period of the detector grating and the waveguide properties. As a consequence of the narrow-band optical coupling, the plenoptic sensor demonstrates a good immunity to background light sources, such as sunlight and incandescent room illumination. The conical acceptance angles (azimuth and altitude) of this device are measured and confirm the device model. Importantly, the device is realized on a commercial silicon-based integrated-photonics foundry line, providing a pathway to volume manufacturing.

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