Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation

Schoepflin, T.N.; Dailey, Daniel J.

doi:10.1109/tits.2003.821213

Cited by 223 publications

(139 citation statements)

References 18 publications

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“…For speed estimation, knowledge regarding the relationship between the blobs' dimensions found on the image and the real world coordinates is necessary. Here, the authors assume a model like in [5], where the camera is located above the ground and is pointed towards the road. The ground level is assumed to be planar.…”

Section: Blob Analysis and Speed Estimationmentioning

confidence: 99%

FPGA and ASIC implementation of the algorithm for traffic monitoring in urban areas

Szczepański¹,

Wójcikowski²,

Pankiewicz³

et al. 2011

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. This paper describes the idea and the implementation of the image detection algorithm, that can be used in integrated sensor networks for environment and traffic monitoring in urban areas. The algorithm is dedicated to the extraction of moving vehicles from real-time camera images for the evaluation of traffic parameters, such as the number of vehicles, their direction of movement and their approximate speed. The authors, apart from the careful selection of particular steps of the algorithm towards hardware implementation, also proposed novel improvements, resulting in increasing the robustness and the efficiency. A single, stationary, monochrome camera is used, simple shadow and highlight elimination is performed. The occlusions are not taken into account, due to placing the camera at a location high above the road. The algorithm is designed and implemented in pipelined hardware, therefore high frame-rate efficiency has been achieved. The algorithm has been implemented and tested in FPGA and ASIC.

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Section: Blob Analysis and Speed Estimationmentioning

confidence: 99%

FPGA and ASIC implementation of the algorithm for traffic monitoring in urban areas

Szczepański¹,

Wójcikowski²,

Pankiewicz³

et al. 2011

Bulletin of the Polish Academy of Sciences: Technical Sciences

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“…The second type of cameras used in vehicle speed measurement systems are calibrated ones [9], [11], [12], [22]. Methods used in these systems, by using calibration parameters, allow the camera to be set on the roadside with a wide variety of Pan-Tilt angles.…”

Section: Introductionmentioning

confidence: 99%

“…The results of the method introduced in [12] were reported on videos captured during day using highly elevated cameras. Moreover, [9], [11], [22] methods have reported high error rates and cannot be used in law enforcement applications.…”

Section: Introductionmentioning

confidence: 99%

Precise Vehicle Speed Measurement Based on a Hierarchical Homographic Transform Estimation for Law Enforcement Applications

Eslami

Raie

Faez

2016

IEICE Trans. Inf. & Syst.

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SUMMARYToday, computer vision is used in different applications for intelligent transportation systems like: traffic surveillance, driver assistance, law enforcement etc. Amongst these applications, we are concentrating on speed measurement for law enforcement. In law enforcement applications, the presence of the license plate in the scene is a presupposition and metric parameters like vehicle's speed are to be estimated with a high degree of precision. The novelty of this paper is to propose a new precise, practical and fast procedure, with hierarchical architecture, to estimate the homraphic transform of the license plate and using this transform to estimate the vehicle's speed. The proposed method uses the RANSAC algorithm to improve the robustness of the estimation. Hence, it is possible to replace the peripheral equipment with vision based systems, or in conjunction with these peripherals, it is possible to improve the accuracy and reliability of the system. Results of experiments on different datasets, with different specifications, show that the proposed method can be used in law enforcement applications to measure the vehicle's speed. key words: feature extraction, RANSAC estimator, license plate, speed measurement, law enforcement

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“…Some methods [4,5] use vehicle trajectories in the image to estimate the ground plane orientation, however these have the disadvantage that recalibration after a PTZ shift may take considerable time if traffic is sparse. The majority of static methods assume that straight lines or rectangular patterns or textures are available for vanishing point estimation [2,6].…”

Section: Introductionmentioning

confidence: 99%

Automatic Single-View Calibration and Rectification from Parallel Planar Curves

Corral-Soto

Elder

2014

Computer Vision – ECCV 2014

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Abstract. Typical methods for camera calibration and image rectification from a single view assume the existence of straight parallel lines from which vanishing points can be computed, or orthogonal structure known to exist in the scene. However, there are practical situations where these assumptions do not apply. Moreover, from a single family of parallel lines on the ground plane there is insufficient information to recover a complete rectification. Here we study a generalization of these methods to scenes known to contain parallel curves. Our method is based on establishing an association between pairs of corresponding points lying on the image projection of these curves. We show how this method can be used to compute a least-squares estimate of the focal length and the camera pose from the tangent lines of the associated points, allowing complete rectification of the image. We evaluate the method on highway and sports track imagery, and demonstrate its accuracy relative to a state-of-the-art vanishing point method.

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Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation

Cited by 223 publications

References 18 publications

FPGA and ASIC implementation of the algorithm for traffic monitoring in urban areas

FPGA and ASIC implementation of the algorithm for traffic monitoring in urban areas

Precise Vehicle Speed Measurement Based on a Hierarchical Homographic Transform Estimation for Law Enforcement Applications

Automatic Single-View Calibration and Rectification from Parallel Planar Curves

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