Albiol Colomer, AJ.; Sanchis Pastor, L.; Albiol Colomer, A.; Mossi García, JM. (2011). Detection of Parked Vehicles using Spatio-temporal Maps. IEEE Transactions on Intelligent Transportation Systems. 12(4):1277-1291. https://doi.org/10.1109/TITS.2011.2156791
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56628
Title:
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Detection of Parked Vehicles using Spatio-temporal Maps
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Author:
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Albiol Colomer, Antonio José
Sanchis Pastor, Laura
Albiol Colomer, Alberto
Mossi García, José Manuel
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UPV Unit:
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Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
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Issued date:
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Abstract:
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This paper presents a video-based approach to detect the presence of parked vehicles in street lanes. Potential applications include the detection of illegally and double-parked vehicles in urban scenarios and incident ...[+]
This paper presents a video-based approach to detect the presence of parked vehicles in street lanes. Potential applications include the detection of illegally and double-parked vehicles in urban scenarios and incident detection on roads. The technique extracts information from low-level feature points (Harris corners) to create spatiotemporal maps that describe what is happening in the scene. The method neither relies on background subtraction nor performs any form of object tracking. The system has been evaluated using private and public data sets and has proven to be robust against common difficulties found in closed-circuit television video, such as varying illumination, camera vibration, the presence of momentary occlusion by other vehicles, and high noise levels. © 2011 IEEE.
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Subjects:
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Parked vehicle detection
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Surveillance
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Traffic image analysis
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Traffic planning
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Video analysis
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Background subtraction
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High noise levels
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Incident detection
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Low-level features
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Object Tracking
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Potential applications
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Public data
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Vehicle detection
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Video-based approach
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Space surveillance
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Vehicles
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Vibration analysis
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Accidents
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Copyrigths:
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Reserva de todos los derechos
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Source:
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IEEE Transactions on Intelligent Transportation Systems. (issn:
1524-9050
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DOI:
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10.1109/TITS.2011.2156791
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Publisher:
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Institute of Electrical and Electronics Engineers (IEEE)
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Publisher version:
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http://dx.doi.org/10.1109/TITS.2011.2156791
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Project ID:
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info:eu-repo/grantAgreement/MICINN//TEC2009-09146/ES/Nuevas Tecnicas Para Video Vigilancia Inteligente/
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Thanks:
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This work was supported by the Spanish Government project Movilidad y automocion en Redes de Transporte Avanzadas (MARTA) under the Consorcios Estrategicos Nacionales de Investigacion Tecnologica (CENIT) program and the ...[+]
This work was supported by the Spanish Government project Movilidad y automocion en Redes de Transporte Avanzadas (MARTA) under the Consorcios Estrategicos Nacionales de Investigacion Tecnologica (CENIT) program and the Comision Interministerial Ciencia Y Tecnologia (CICYT) under Contract TEC2009-09146. The Associate Editor for this paper was R. W. Goudy.
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Type:
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Artículo
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