Title :
Vehicle detection based on morphology from highway aerial images
Author :
Zheng, Zezhong ; Wang, Xiaoting ; Zhou, Guoqing ; Jiang, Ling
Author_Institution :
Inst. of Geo-Spatial Inf. Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Vehicle detection from high resolution aerial images has been studied for many years. However, a robust and efficient vehicle detection method is still challenging. In this paper, a novel and robust method for automatic vehicle detection from highway aerial image was presented. In this method, a GIS road vector map is used to constrain a vehicle detection system to the highway networks. After the structure element is identified, morphological preprocessing method is used to identify candidate vehicles. Experiment is conducted with 0.15 m resolution aerial image. And the result demonstrated that the novel method has an excellent detection performance, thus the method is very promising.
Keywords :
geographic information systems; geophysical image processing; geophysical techniques; object detection; roads; vehicles; GIS road vector map; automatic vehicle detection; candidate vehicles; detection performance; high resolution aerial images; highway aerial image; highway aerial images; highway networks; morphological preprocessing method; robust efficient vehicle detection method; structure element; vehicle detection system; Computational modeling; Educational institutions; Image resolution; Road transportation; Robustness; Vehicle detection; Vehicles; Vehicle detection; aerial image; morphological preprocessing; structure element;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352241