2016
DOI: 10.1117/1.jei.25.5.051207
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Automatic vehicle counting system for traffic monitoring

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Cited by 23 publications
(18 citation statements)
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“…A variety of technologies and analysis methods have been deployed and validated to count pedestrians, bicycles and vehicles crossing bridges and other transportation infrastructure. These methods include in-person observational counting [ 4 , 5 ], motion-activated counters [ 4 ], magnetic inductive loops [ 6 ], infrared light beams, pressure pads, thermal cameras [ 7 ], and digital video [ 8 , 9 ] and imagery analysis [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…A variety of technologies and analysis methods have been deployed and validated to count pedestrians, bicycles and vehicles crossing bridges and other transportation infrastructure. These methods include in-person observational counting [ 4 , 5 ], motion-activated counters [ 4 ], magnetic inductive loops [ 6 ], infrared light beams, pressure pads, thermal cameras [ 7 ], and digital video [ 8 , 9 ] and imagery analysis [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Intelligent Traffic Flow Analysis (TFA) systems include sensing and data processing techniques that attempt to improve the traditional traffic systems [1]. They integrate additional hardware of sensors, digital traffic signs and cameras and apply advanced techniques to process the data provided by the hardware to intelligently improve vehicles and traffic flow [2]. For example, efficiently adjusting the lights phasing and timing of a traffic light system in such a way that improves the traffic flow and reduce the delay [3].…”
Section: Introductionmentioning
confidence: 99%
“…Following the thriving development of computer vision technology and surveillance equipment in recent years, vision‐based traffic flow surveillance has become one of the key applications of the ITS [1–5]. Previous research has primarily focused on daytime traffic flow surveillance because daytime images are clearer, more image features can be used for vehicle detection; thus, the methods appropriate for daytime vehicle detection [6–15] are more diverse.…”
Section: Introductionmentioning
confidence: 99%