Vehicle flow detection statistic algorithm based on optical flow

Chen, Zhenxue; Wang, Guoyou; Chenyun, Liu

doi:10.1109/isspit.2005.1577106

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Vehicle detection is a basic and important task in traffic monitoring system. There are already several kinds of vehicle detection methods, such as, optical flow method [1], neighbor frame difference method [2] and background subtraction method [3][4][5][6][7][8]. The optical flow based methods are computationally expensive and thus cannot be applied to vehicle detection in real time.…”

Section: Introductionmentioning

confidence: 99%

Background Extraction and Vehicle Detection Method Based on Histogram in YCbCr Color Space

Wei

Chang

Cheng

et al. 2012

AMM

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In computer vision-based Intelligent Transportation Systems (ITS), one of the key techniques is to detect the vehicles accurately. In this paper, we propose a background extraction and vehicle detection method based on histogram in YCbCr color space. By using YCbCr color space, the influence of illumination change and shadows is reduced. To solve the problem with change in background itself, we propose a background update method by using the pixel change count and histogram. Experiment results show that the proposed algorithm can effectively extract and update the background information in complicated urban traffic environment. It also improves the accuracy of vehicle detection.

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Section: Introductionmentioning

confidence: 99%

Background Extraction and Vehicle Detection Method Based on Histogram in YCbCr Color Space

Wei

Chang

Cheng

et al. 2012

AMM

View full text Add to dashboard Cite

show abstract

“…These methods are simple and fast, but not flexible as they require manual settings by an operator. Tracking-based approaches, Generally, consider three steps: vehicle detection [17], vehicle tracking and traffic parameters calculation [18], [4], [2], [9], [10], [11]. In these approaches, the images of individual cars need to be separated, which makes their applicability not feasible in real situations with changes in lighting conditions, traffic congestion and vehicle occlusion [7].…”

Section: Introductionmentioning

confidence: 99%

A High Efficient System for Traffic Mean Speed Estimation from MPEG Video

Sahli

Dong

et al. 2009

2009 International Conference on Artificial Intelligence and Computational Intelligence

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In this paper, we present a vision-based traffic measurement system, allowing automatic traffic flow segmentation, camera calibration and traffic information estimation. The system quickly estimates mean vehicle speed directly from MPEG Motion Vectors. Although extensive work has been done in extracting and using motion information from MPEG video data in compressed domain, to our best knowledge, only few works have been dedicated to the use of MPEG motion vector for traffic analysis. The proposed system is stable and handles camera vibrations and illumination changes. The paper describes the main principles of our system together with qualitative and quantitative representative results.

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A reliable counting vehicles method in traffic flow monitoring

Jun

Bai

Ren

2011

2011 4th International Congress on Image and Signal Processing

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Number of vehicles passing by in a period of time on the highway is a powerful index to measure current traffic situation, it signifies on traffic control. Video-based method is used commonly in vehicles statistics, it identifies and counts vehicles in image sequences taken from a static camera. In this paper, we present a novel method for identifying and counting vehicles. This method firstly segments regions of moving object, then deals with this result to determine whether it is a full vehicle and finally counts vehicle by a simple formula. The experiment result shows that the proposed method could count vehicles accurately in the scene of traffic flow monitoring .

show abstract

Vehicle flow detection statistic algorithm based on optical flow

Cited by 4 publications

References 5 publications

Background Extraction and Vehicle Detection Method Based on Histogram in YCbCr Color Space

Background Extraction and Vehicle Detection Method Based on Histogram in YCbCr Color Space

A High Efficient System for Traffic Mean Speed Estimation from MPEG Video

A reliable counting vehicles method in traffic flow monitoring

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