Title :
Detection of text marks on moving vehicles
Author :
Mariano, Vladimir Y. ; Kasturi, Rangachar
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Vehicle text marks are unique features which are useful for identifying vehicles in video surveillance applications. We propose a method for finding such text marks. An existing text detection algorithm is modified such that detection is increased and made more robust to outdoor conditions. False alarm is reduced by introducing a binary image test which remove detections that are not likely to be caused by text. The method is tested on a captured video of a typical street scene.
Keywords :
character recognition; identification technology; object detection; security; surveillance; text analysis; video signal processing; binary image test; cameras; captured video; false alarm reduction; intelligent tools; moving objects segmentation; moving vehicles; outdoor conditions; robust technique; security; text detection algorithm; text mark detection; text mark finding; text-like properties; vehicle identification; vehicle text marks; video analysis; video surveillance applications; Cameras; Degradation; Image edge detection; Layout; Robustness; Security; Testing; Vehicle detection; Vehicles; Video compression;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227696
