Method to estimate pedestrian traffic using convolutional neural network

Kataev, Georgii; Varkentin, Vitalii; Nikolskaia, Kseniia

doi:10.1016/j.trpro.2020.10.029

Cited by 15 publications

(4 citation statements)

References 26 publications

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“…erefore, we relax the hard discrete constraint by introducing a continuous matrix F � XW to replace H in equation (3). We also add the term ‖F − H‖ 2 F to make H close to F. en, we can obtain the overall basic formulation as…”

Section: Basic Formulationmentioning

confidence: 99%

“…Person re-id can be widely used for video surveillance; moreover, person re-identification is the key technology in pedestrian traffic monitoring [1]. Detecting and tracking a person across camera is important in traffic monitoring system [2]. Also, person re-id technology can intelligently and efficiently identify and track pedestrians in streets, airports, or other transportation systems.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, with the advance of mobile technologies, mobile systems such as unmanned aerial vehicle (UAV) are widely used for video surveillance and traffic monitoring [2]. For example, UAV with cameras can play more important roles in tracking people in transportation system from complex environments such as rural area, mountain, and sea, where fixed cameras are lacking or cannot reach, and they can accomplish dangerous and boring visual information gathering tasks with great excellence.…”

Section: Introductionmentioning

confidence: 99%

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Online Discrete Anchor Graph Hashing for Mobile Person Re-Identification

Xie

Fang

2021

Journal of Advanced Transportation

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With the advance of mobile technologies, mobile devices such as unmanned aerial vehicle (UAV) become more important in video surveillance. By applying mobile person re-identification (re-id), mobile devices can monitor pedestrians in the transportation system from complex environments. Since the computing and storage resources of mobile devices are limited, traditional person re-id methods are not appropriate for mobile condition. Besides, mobile person re-id task also requires real-time processing. In this paper, we propose a novel hashing method: online discrete anchor graph hashing (ODAGH) for mobile person re-id. ODAGH integrates the advantages of online learning and hashing technology. In ODAGH, we propose an online discrete optimization algorithm to improve the efficiency of anchor graph learning in the online scenario. Experimental results demonstrate the superiority of ODAGH in terms of both effect and efficiency.

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Section: Basic Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Online Discrete Anchor Graph Hashing for Mobile Person Re-Identification

Xie

Fang

2021

Journal of Advanced Transportation

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“…. , c n−1 ), this hypertetrahedron is a product of the intersection of a positive hyperoctant by a hyperplane that cuts on each coordinate axis a segment equal to unity [56][57][58][59][60].…”

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confidence: 99%

Analytical Model for Information Flow Management in Intelligent Transport Systems

Terentyev,

Marusin,

Evtyukov

et al. 2023

Mathematics

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The performance of this study involves the use of the zoning method based on the principle of the hierarchical relationship between probabilities. This paper proposes an analytical model allowing for the design of information and analysis platforms in intelligent transport systems. The proposed model uses a synthesis of methods for managing complex systems’ structural dynamics and solves the problem of achieving the optimal balance between the information situations existing for the object and the subject under analysis. A series of principles are formulated that govern the mathematical modeling of information and analysis platforms. Specifically, these include the use of an object-oriented approach to forming the information space of possible decisions and the division into levels and subsystems based on the principles of technology homogeneity and information state heterogeneity. Using the proposed approach, an information and analysis platform is developed for sustainable transportation system management, that allows for the objective, multivariate forecasting-based record of changes in the system’s variables over time for a particular process, and where decision-making simulation models can be adjusted in relation to a particular process based on an information situation existing for a particular process within a complex transport system. The study demonstrates a mathematical model that solves the optimal balance problem in organizationally and technically complex management systems and is based on vector optimization techniques for the most optimal decision-making management. The analysis involves classical mathematical functions with an unlimited number of variables including traffic volume, cargo turnover, safety status, environmental performance, and related variables associated with the movement of objects within a transport network. The study has produced a routing protocol prescribing the optimal vehicle trajectories within an organizationally and technically complex system exposed to a substantial number of external factors of uncertain nature.

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Review of Urban Traffic Detection Approaches with Accent of Transportation in Sofia, Bulgaria

Yosifov

Petrov

2022

Proceedings of Seventh International Congress on Information and Communication Technology

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Method to estimate pedestrian traffic using convolutional neural network

Cited by 15 publications

References 26 publications

Online Discrete Anchor Graph Hashing for Mobile Person Re-Identification

Online Discrete Anchor Graph Hashing for Mobile Person Re-Identification

Analytical Model for Information Flow Management in Intelligent Transport Systems

Review of Urban Traffic Detection Approaches with Accent of Transportation in Sofia, Bulgaria

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