Automatic vehicle recognition in multiple cameras for video surveillance
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605540527 | ||
| 003 | CHVBK | ||
| 005 | 20210128100912.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150301xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00371-013-0917-y |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-013-0917-y | ||
| 100 | 1 | |a Rao |D Yunbo |u School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China |4 aut | |
| 245 | 1 | 0 | |a Automatic vehicle recognition in multiple cameras for video surveillance |h [Elektronische Daten] |c [Yunbo Rao] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Level-based region comparison |2 nationallicence | |
| 690 | 7 | |a License plate recognition |2 nationallicence | |
| 690 | 7 | |a Multiple-cameras |2 nationallicence | |
| 690 | 7 | |a Automatic vehicle recognition |2 nationallicence | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/3(2015-03-01), 271-280 |x 0178-2789 |q 31:3<271 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-013-0917-y |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-013-0917-y |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 100 |E 1- |a Rao |D Yunbo |u School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/3(2015-03-01), 271-280 |x 0178-2789 |q 31:3<271 |1 2015 |2 31 |o 371 | ||