caa a22 4500 605540527 CHVBK 20210128100912.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00371-013-0917-y doi (NATIONALLICENCE)springer-10.1007/s00371-013-0917-y Rao Yunbo School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China aut Automatic vehicle recognition in multiple cameras for video surveillance [Elektronische Daten] [Yunbo Rao] To efficiently locate identical objects in heterogeneous cameras and possibly propagate reliable information between cameras and refine detection, many techniques were used to recognize vehicles. In this paper, we investigate several key problems and present a novel approach for automatic vehicle recognition (AVR) in multiple cameras for video surveillance application. We propose a level-based region comparison algorithm to AVR in multiple cameras. For improving the recognition accuracy, new license plate recognition method is also proposed. Experimental results show that the proposed algorithm is simple and efficient, and the quality of the composed image can be comparable with the results of the state-of-the-art methods. Springer-Verlag Berlin Heidelberg, 2014 Level-based region comparison nationallicence License plate recognition nationallicence Multiple-cameras nationallicence Automatic vehicle recognition nationallicence The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 271-280 0178-2789 31:3<271 2015 31 371 https://doi.org/10.1007/s00371-013-0917-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-013-0917-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Rao Yunbo School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 271-280 0178-2789 31:3<271 2015 31 371