Real-time passenger counting in buses using dense stereovision

Yahiaoui, Tarek; Khoudour, Louahdi; Meurie, Cyril

doi:10.1117/1.3455989

Cited by 22 publications

(5 citation statements)

References 22 publications

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“…A KLT corner detector is also proposed in [100] and shows good results in tracking. Dense stereovision in buses with 99% and 97% accuracy was proposed in reference [101]. Yahiaoui et al improved the stereo-matching method that can compute precise and noise-free height maps.…”

Section: Counting Passengers At Public Transport Stationsmentioning

confidence: 99%

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

et al. 2023

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Passenger detection and occupancy estimation are vital tasks in many fields. The existing literature emphasises that the increasing demand for such systems will continue to grow. This paper reviews the existing literature specializing in the field of transportation safety and efficiency concerning occupancy estimation in vehicles and passenger detection at public transport stations. A comparison between different approaches to passenger estimation is presented. Discussion on the advantages and disadvantages is highlighted. Hence, this paper provides an analysis of 146 papers on the current state of the field. This review paper concludes that invasive methods provide high accuracy with relatively cheap implementation, while noninvasive systems do not violate passenger privacy but lack state-of-the-art accuracy. Future work will include a systematic literature review and a comparative analysis of systems considering the existing window tinting and solar windshields heavily blocking certain parts of the electromagnetic spectrum. Moreover, future work will investigate the critical challenges of noninvasive passenger estimation in different types of vehicles: trucks, buses, or even motorcycles.

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Section: Counting Passengers At Public Transport Stationsmentioning

confidence: 99%

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

et al. 2023

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“…Along with technological developments, contactless passenger counting sensors were introduced and developed using computer vision and image processing. The involvement of cameras as sensors (De Potter et al, 2012) (Khan et al, 2020) (Khoudour, 2010), and radar technology became a new breakthrough to create a passenger count detection applications (Greneker, 2001). The passenger counter method with image processing is a method that allows for further image processing with various algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation

Hapsari,

Mutiara,

Alfarisi

et al. 2023

JAETS

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Buses are the most used transportation by people in Indonesia when traveling between cities. However, to improve passenger comfort, a tool is required to determine the number of passengers on the bus. This research presents an automated system to count the number of passengers based on a background subtraction algorithm and moving object activator. This research aims to provide the number of passengers based on video images taken from the entranceway. The system is built with a camera, Raspberry Pi, and LCD. The APC system starts the counting process by removing the video background image from the captured object image. The entry and exit direction of the object is determined using the concept of moving object activator. The experiments were applied in several scenarios to determine the robustness of the system. The best APC performance was achieved when the system is positioned perpendicularly above the entranceway at a height of 230 cm and a light intensity of 800-1000 lux. Meanwhile, the moving object activator is effective in supporting the system's performance to determine the passenger's direction. In this scenario, the results stated that the accuracy of APC system performance reached 93.8%.

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“…The considerable development of passengers' traffic in public transportation has made it indispensable to set up specific methods of organization and management for a proper loading [5]. Most of the bus operators companies are very much concerned with counting passengers, which allows improved diagnosis of fraud, optimization of line management, traffic control and forecast, budgetary distribution between the different lines, and improvements in the quality of service [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Passengers’ Vehicle Overloading Control System

Namayala¹,

Gabriel²,

kayombo³

et al. 2019

IJERAT

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Passengers overloading control has been a challenge in Tanzania, with the current practices checkup for overloading is done at special inspections points, leaving loopholes to both drivers and conductor deploy alternative ways to circumvent burdens. Sophisticated measures are required in controlling public buses' overloading because they can help in reducing deaths and casualties as the findings show that excessive passengers is one of the major causes of many deaths and casualties when accidents occur. There are a number of existing technics for passengers' overloading control in public busses, counting of passengers, video processing using the zenithal camera for capturing the bio-directional passengers flow, infra-red motion analyzer and stereovision are commonly used. The current practice of checking and controlling passengers' overloading which is done by stationed police officers and SUMATRA is associated with many challenges and limitations, being labor-intensive, not providing real-time data, being reactive rather than proactive, not applicable in rainy and night time, encourage bribery and lacking control are some of the commonly identified problems and limitations. This research concentrates with the design and develops a sophisticated embedded passengers' vehicles overloading system that monitors and automatically controlling the overloading process. Development was possible through the use of ADCUM Camera,

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Real-time passenger counting in buses using dense stereovision

Cited by 22 publications

References 22 publications

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

Moving Object Activator in Background Subtraction Algorithm for Automatic Passenger Counter System in Public Transportation

Development of Passengers’ Vehicle Overloading Control System

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