caa a22 4500 445295457 CHVBK 20180317142540.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11554-010-0154-9 doi (NATIONALLICENCE)springer-10.1007/s11554-010-0154-9 Cascaded online boosting [Elektronische Daten] [Ingrid Visentini, Lauro Snidaro, Gian Foresti] In this paper, we propose a cascaded version of the online boosting algorithm to speed-up the execution time and guarantee real-time performance even when employing a large number of classifiers. This is the case for target tracking purposes in computer vision applications. We thus revise the online boosting framework by building on-the-fly a cascade of classifiers dynamically for each new frame. The procedure takes into account both the error and the computational requirements of the available features and populates the levels of the cascade accordingly to optimize the detection rate while retaining real-time performance. We demonstrate the effectiveness of our approach on standard datasets. Springer-Verlag, 2010 Online boosting nationallicence Multiple classifiers systems nationallicence Object detection nationallicence Tracking nationallicence Visentini Ingrid Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut Snidaro Lauro Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut Foresti Gian Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut Journal of Real-Time Image Processing Springer-Verlag 5/4(2010-12-01), 245-257 1861-8200 5:4<245 2010 5 11554 https://doi.org/10.1007/s11554-010-0154-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11554-010-0154-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Visentini Ingrid Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut NATIONALLICENCE 700 1- Snidaro Lauro Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut NATIONALLICENCE 700 1- Foresti Gian Department of Mathematics and Computer Science, University of Udine, Udine, Italy aut NATIONALLICENCE 773 0- Journal of Real-Time Image Processing Springer-Verlag 5/4(2010-12-01), 245-257 1861-8200 5:4<245 2010 5 11554 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer