3D-sensing Distributed Embedded System for People Tracking and Counting

Burbano, Andrés; Bouaziz, Samir; Vasiliu, Marius

doi:10.1109/csci.2015.76

Cited by 17 publications

(10 citation statements)

References 12 publications

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“…They focused on depth images instead of RGB. Burbano et al [22] focused on embedded smart camera network to detect and track people from overhead view. Tseng [23] proposed a realtime surveillance system comprised of multiple depth cameras located indoor for person detection and tracking.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Camera Solution for Video Surveillance

Ahmad¹,

Ahmed²,

Ullah³

et al. 2019

ijacsa

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Video surveillance is growing rapidly, new problems and issues are also coming into view which needs serious and urgent attention. Video surveillance system requires a beneficial energy efficient camera solution. In this paper, a single overhead camera solution is introduced which overcomes the problems existing in various frontal and overhead based surveillance systems. This will increases the efficiency and accuracy of surveillance system i.e. frontal and overhead. In this paper, two energy efficient overhead camera models are presented. The first model consists of a single overhead camera with a wide angle lens which covers a wide field of view addresses problems present in the traditional surveillance system. The second model, presents a single smart centralized overhead camera which controls various frontal based cameras. Several factors associated with camera models such as field of view, focal length and distortion are also discussed. Impact of the surveillance cameras are finally discussed which shows that a single energy efficient overhead camera surveillance system can solves many problems present in traditional surveillance system like power consumption, storage, time, human resource and installation cost and small coverage area.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Camera Solution for Video Surveillance

Ahmad¹,

Ahmed²,

Ullah³

et al. 2019

ijacsa

View full text Add to dashboard Cite

show abstract

“…This is a classic image processing method that consist on taking the most preeminent color tone for each channel (R (red), G (green), B (blue)). It is possible to use different visual descriptors such as different color space or even physical characteristics (e.g., height, head size and shoulder width) [4]. After describing the scene, the smart camera sends that knowledge to the central unit by using web services.…”

Section: Dynamic Populationmentioning

confidence: 99%

Ontology for a Panoptes building: Exploiting contextual information and a smart camera network

Marroquin

Dubois

Nicolle

2018

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The contextual information in the built environment is highly heterogeneous, it goes from static information (e.g., information about the building structure) to dynamic information (e.g., user's space-time information, sensors detections and events that occurred). This paper proposes to semantically fuse the building contextual information with data coming from a smart camera network by using ontologies and semantic web technologies. The ontology developed allows interoperability between the different contextual data and enables, without human interaction, real-time event detections to be performed and system reconfigurations. The use of semantic knowledge in multi-camera monitoring systems guarantees the protection of the user's privacy by not sending nor saving any image, just extracting the knowledge from them. This paper presents a new approach to develop a "all-seeing" smart building, where the global system is the first step to attempt to provide Artificial Intelligence (AI) to a building. More details of the system and future works can be found at the following website: http://wisenet.checksem.fr/ .

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“…This section uses a stereo matching algorithm to demonstrate the use of knobs and monitors to control application behaviour and monitor bounding to guide optimisation at runtime. Stereo matching performs depth estimation and 3D sensing and is used across many embedded applications including person counting and tracking [20], autonomous navigation [21] and mobile robotics [22]. A stereoscopic pair of images is provided as an input and a depth or disparity map is returned that encodes the real-world depth of each pixel.…”

Section: A Energy Saving Through Application Knobs and Monitorsmentioning

confidence: 99%

Application Control and Monitoring in Heterogeneous Multiprocessor Systems

Leech

Bragg

Balsamo

et al. 2018

2018 13th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC)

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Multiprocessor systems provide both highperformance and energy-efficient execution of applications on mobile and embedded systems under dynamic workload requirements, and can provide increased lifetime for devices in energy-constrained environments. However, their increasing complexity means that management at runtime has become a non-trivial task, especially in heterogeneous multiprocessor systems. In addition, there is no standardised mechanism to expose and manage the sources of control and monitoring from within applications and hardware resources at runtime. This paper presents an analysis of applications, platforms and runtime management approaches to motivate the need for a standardised framework that enables fully applicationand platform-agnostic runtime management. The exposure of application controls and requirements through the presented framework is demonstrated with a stereo matching algorithm, including runtime management of multi-threading and frequency scaling on the 61-core Xeon Phi platform. In addition, the trading of application parameters, such as throughput and accuracy, is demonstrated within the framework using a runtime controller on the Odroid-XU3 platform. An open-source implementation of this framework has been released. 1

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3D-sensing Distributed Embedded System for People Tracking and Counting

Cited by 17 publications

References 12 publications

Energy Efficient Camera Solution for Video Surveillance

Energy Efficient Camera Solution for Video Surveillance

Ontology for a Panoptes building: Exploiting contextual information and a smart camera network

Application Control and Monitoring in Heterogeneous Multiprocessor Systems

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