Intelligent Vehicle Counting Method Based on Blob Analysis in Traffic Surveillance
作者： Thou-Ho Chen , Yu-Feng Lin , Tsong-Yi Chen
关键词: Blob analysis 、 Computer vision 、 Segmentation 、 Artificial intelligence 、 Object (computer science) 、 Tracking (particle physics) 、 Image segmentation 、 Vehicle counting 、 Scale-space segmentation 、 Computer science
摘要: This paper presents an intelligent vehicle counting method based on blob analysis in traffic surveillance. The proposed algorithm is composed of three steps: Processing done by main moving object segmentation, analysis, and tracking. A modeled as a rectangular patch classified via analysis. By analyzing the vehicles, meaningful features are extracted. Tracking targets achieved comparing extracted measuring minimal distance between two temporal images. In addition, velocity each flow through predefined area can be calculated blobs vehicles. experimental results show that system provide real-time useful information for
sci-hub.se 参考文章(5)
Thou-Ho Chen, Che-Wei Hsu, An automatic bi-directional passing-people counting method based on color image processing international carnahan conference on security technology. pp. 200- 207 ,(2003) , 10.1109/CCST.2003.1297560
Surendra Gupte, Osama Masoud, Robert FK Martin, Nikolaos P Papanikolopoulos, None, Detection and classification of vehicles IEEE Transactions on Intelligent Transportation Systems. ,vol. 3, pp. 37- 47 ,(2002) , 10.1109/6979.994794
Y. Wakabayashi, M. Aoki, Traffic flow measurement using stereo slit camera international conference on intelligent transportation systems. pp. 7- 11 ,(2004) , 10.1109/ITSC.2005.1520138
B.L. Tseng, Ching-Yung Lin, J.R. Smith, Real-time video surveillance for traffic monitoring using virtual line analysis international conference on multimedia and expo. ,vol. 2, pp. 541- 544 ,(2002) , 10.1109/ICME.2002.1035671
Liu Bo, Zhou Heqin, Using object classification to improve urban traffic monitoring system international conference on neural networks and signal processing. ,vol. 2, pp. 1155- 1159 ,(2003) , 10.1109/ICNNSP.2003.1281074