Pedestrian movement trajectory reappearance and crossing feature expression based on video processing

被引：7

作者：

Jiang, Sheng ^{[1
]}

Wang, Dianhai ^{[1
,2
]}

Chen, Yongheng ^{[1
]}

Sun, Di ^{[1
]}

机构：

[1] College of Transportation, Jilin University

[2] College of Civil Engineering and Architecture, Zhejiang University

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2012年 / 42卷 / 06期

关键词：

Feature expression; Intelligent transportation; Pedestrian behavior; Trajectory reappearance; Video detection;

D O I：

10.3969/j.issn.1001-0505.2012.06.038

中图分类号：

TN94 [电视];

学科分类号：

0810 ; 081001 ;

摘要：

According to the trajectory reappearance and feature expression of pedestrian movement, based on video processing, a pedestrian feature extraction and tracking algorithm combining with temporal and spatial context information is proposed. Then the center offset is introduced into the calibration to overcome the shortcomings of the collinear model which does not consider the lens distortion, thus the calibration precision is improved. This algorithm is used to obtain some groups of pedestrian movement parameters and trajectory curve on real video processing. Then the data extracted by this algorithm is compared with both the data calculated through the collinear calibration method and the real data from artificial investigation, in order to verify the accuracy of this algorithm. Finally, several pedestrian crossing behaviors are quantitatively analyzed and the corresponding feature statuses are expressed, which can support the organization and control of pedestrian traffic.

引用

页码：1233 / 1237

页数：4

共 11 条

[1]

Sun Z., Ge S., Rong J., Et al., Study on pedestrian traffic data collection, Journal of Beijing University of Technology, 32, 6, pp. 530-533, (2006)

[2]

Bernhoft I.M., Carstensen G., Preferences and behavior of pedestrians and cyclists by age and gender, Transportation Research Part F, 11, 2, pp. 83-95, (2008)

[3]

Zhou R.G., Horrey W.J., Yu R.F., The effect of conformity on pedestrians' road-crossing intentions in China: an application of the theory of planned behaviour, Accident Analysis and Prevention, 41, 3, pp. 491-497, (2009)

[4]

Pei Y., Feng S., Research on design speed of urban pedestrian crossing, Journal of Highway and Transportation Research and Development, 23, 9, pp. 104-107, (2006)

[5]

Hoogendoorn S.P., Daamen W., Bovy P.H.L., Extracting microscopic pedestrian characteristics from video data, Transportation Research Board Annual Meeting, (2003)

[6]

Daamen W., Hoogendoorn S.P., Bovy P.H.L., First-order pedestrian traffic flow theory, Transportation Research Board Annual Meeting, (2005)

[7]

Wang A., Yang W., Sun C., Scale adaptable mean shift object tracking based on image fragments, Journal of Southeast University: Natural Science Edition, 40, SUPPL.1, pp. 131-135, (2010)

[8]

Hu H., Wang D., Sun D., Representation and analysis of pedestrian crossing states based on video tracking, Journal of Transport Information and Safety, 27, 3, pp. 43-47, (2009)

[9]

Shao C., Li J., Zhao Y., Et al., Review of pedestrian traffic data collection method based on video image processing, Journal of Transportation Systems Engineering and Information Technology, 8, 4, pp. 23-29, (2008)

[10]

(2011)

← 1 2 →