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https://doi.org/10.17559/TV-20170827091448

Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime

HyungJun Kim ; Division of Information Technology, Hansei University, 30 Hansei-ro, Gunpo-city, Gyeonggi-do 15852, Korea

Puni tekst: engleski, pdf (822 KB) str. 87-94 preuzimanja: 156* citiraj
APA 6th Edition
Kim, H. (2019). Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime. Tehnički vjesnik, 26 (1), 87-94. https://doi.org/10.17559/TV-20170827091448
MLA 8th Edition
Kim, HyungJun. "Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime." Tehnički vjesnik, vol. 26, br. 1, 2019, str. 87-94. https://doi.org/10.17559/TV-20170827091448. Citirano 18.07.2019.
Chicago 17th Edition
Kim, HyungJun. "Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime." Tehnički vjesnik 26, br. 1 (2019): 87-94. https://doi.org/10.17559/TV-20170827091448
Harvard
Kim, H. (2019). 'Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime', Tehnički vjesnik, 26(1), str. 87-94. doi: https://doi.org/10.17559/TV-20170827091448
Vancouver
Kim H. Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime. Tehnički vjesnik [Internet]. 2019 [pristupljeno 18.07.2019.];26(1):87-94. doi: https://doi.org/10.17559/TV-20170827091448
IEEE
H. Kim, "Vehicle Detection and Speed Estimation for Automated Traffic Surveillance Systems at Nighttime", Tehnički vjesnik, vol.26, br. 1, str. 87-94, 2019. [Online]. doi: https://doi.org/10.17559/TV-20170827091448

Sažetak
This article proposes a vehicle detection and speed measurement system to estimate a vehicle’s velocity by identifying its headlight properties in a nighttime environment. We present a traffic surveillance system for vehicle detection and tracking in the nighttime along with a background extraction and automatic vanishing point detection process. We show that a single video camera can sufficiently and effectively operate to concurrently calculate and detect a vanishing point during the daytime. We have applied this to preprocessing in an automated traffic surveillance system in the nighttime. The experimental results show that vehicle tracking is possible, even in the nighttime. Preliminary experimental results confirm the possibility and effectiveness of the proposed algorithms for this nighttime vehicle surveillance system. They demonstrate that a single camera with an embedded image processing system can concurrently monitor, detect and track multiple vehicles in multiple lanes during the nighttime as successfully as the daytime.

Ključne riječi
background extraction; speed estimation; traffic surveillance; vanishing point; vehicle detection

Hrčak ID: 217091

URI
https://hrcak.srce.hr/217091

Posjeta: 263 *