Automatic People Counting System Using Aerial Image Captured by Drone for Event Management

Saidon, Mohd Saifizi; Mustafa, Wan Azani; Rajasalavam, Vinnoth Raj; Khairunizam, Wan

doi:10.1007/978-981-16-0866-7_4

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Wśród prac traktujących o zliczaniu ludzi w określonych przestrzeniach można wymienić m.in. [8,9]. Z kolei problem analizy ruchu drogowego został podjęty np.…”

Section: Zliczanie Obiektówunclassified

Fast Object Counting with an Event Camera

Bialik¹,

Kowalczyk²,

Błachut³

et al. 2023

PAR

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This paper proposes the use of an event camera as a component of a vision system that enables counting of fast-moving objects – in this case, falling corn grains. These cameras transmit, in an asynchronous manner, information about the change in brightness of individual pixels and are characterised by low latency, no motion blur, and correct operation in different lighting conditions, as well as very low power consumption. The proposed counting algorithm processes events in real time. The operation of the solution was demonstrated on a stand consisting of a chute with a vibrating feeder, which allowed the number of falling grains to be adjusted. The objective of the control system with a PID controller was to maintain a constant average number of falling objects. The proposed solution was subjected to a series of tests to determine the correctness of the developed method operation. On their basis, the validity of using an event camera to count small, fast-moving objects and the associated wide range of potential industrial applications can be confirmed.

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“…Wśród prac traktujących o zliczaniu ludzi w określonych przestrzeniach można wymienić m.in. [8,9]. Z kolei problem analizy ruchu drogowego został podjęty np.…”

Section: Zliczanie Obiektówunclassified

Fast Object Counting with an Event Camera

Bialik¹,

Kowalczyk²,

Błachut³

et al. 2023

PAR

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“…The derived model achieved promising results on the tested images. Researchers in [20] developed an automatic people counting system using digital image processing technique that integrate with a drone called "Otsu's method". The captured images were firstly compared between RGB and HSV colour model.…”

Section: Related Studymentioning

confidence: 99%

“…Table 1 shows a comparison of the related research windup. -High complexity, so optimization is needed -High altitudes reduces resolution [20] UAV Otsu's…”

Section: Related Studymentioning

confidence: 99%

Developing CubeSat and AI Framework for Crowd Management Case of Short-Term Large-Scale Events

Almalki¹,

Mutawi²,

Turkistani³

et al. 2022

Adv. sci. technol. eng. syst. j.

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Many consequences can be resulted in mismanagement of crowd, which might get people injured or even lose their lives. Thus, crowd management helps in controlling overcrowded areas during events, and allowing authorities to monitor, manage and reduce incidents. Space science and technology have made huge leap in crowd management, let alone when this technology integrated with Artificial intelligent. Hence, space-based systems like CubeSats are seen as the best approach to help monitoring and providing various reasons. For instance, wide coverage footprint, collect specific area data simultaneously, assist in aerial photography, as well as providing wide range of wireless communications services that can integrate appropriately with AI and wearable devices. This work aims to design a CubeSat vehicle to manage crowds during short-term, large-scale events. The proposed system is, also, coupled with AI framework along with the camera and wearable devices to monitor the crowds' performance continuously by relying on two aspects: Firstly, aerial imaging (e.g., photos and videos). Secondly, using wearable devices that can be worn to monitor vital signs of crowds. Moreover, the proposed system can independently relieve congestion, as well as notify the ground controller of all problems to take further actions. The obtained results confirm that the proposed innovative solution is for crowd management with accuracy reached 95%, and MSE equal to 0.049.

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“…The processing speed of the proposed algorithm was 40 frames per second for images with a resolution of 320 × 240 pixels, and the counting accuracy of the proposed method was 84.27%. Other works on counting people in specific spaces include, for example, [8] or [9]. The problem of traffic analysis has been addressed, for example, in the work [10].…”

Section: Object Countingmentioning

confidence: 99%

Fast-moving object counting with an event camera

Bialik¹,

Kowalczyk²,

Błachut³

et al. 2022

Preprint

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<p>This paper proposes the use of an event camera as a component of a vision system that enables counting of fast-moving objects - in this case, falling corn grains. These type of cameras transmit information about the change in brightness of individual pixels and are characterised by low latency, no motion blur, correct operation in different lighting conditions, as well as very low power consumption. The proposed counting algorithm processes events in real time. The operation of the solution was demonstrated on a stand consisting of a chute with a vibrating feeder, which allowed the number of grains falling to be adjusted. The objective of the control system with a PID controller was to maintain a constant average number of falling objects. The proposed solution was subjected to a series of tests to determine the correctness of the developed method operation. On their basis, the validity of using an event camera to count small, fast-moving objects and the associated wide range of potential industrial applications can be confirmed.</p>

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Automatic People Counting System Using Aerial Image Captured by Drone for Event Management

Cited by 5 publications

References 13 publications

Fast Object Counting with an Event Camera

Fast Object Counting with an Event Camera

Developing CubeSat and AI Framework for Crowd Management Case of Short-Term Large-Scale Events

Fast-moving object counting with an event camera

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