caa a22 4500 467914370 CHVBK 20180406152858.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s11263-006-7538-0 doi (NATIONALLICENCE)springer-10.1007/s11263-006-7538-0 A Critical View of Context [Elektronische Daten] [Lior Wolf, Stanley Bileschi] In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object types in a street-scenes environment. Using context alone, we demonstrate robust detection of locations likely to contain bicycles, cars, and pedestrians. Furthermore, experiments are conducted so as to address several open questions regarding visual context. Specifically, it is demonstrated that context may be determined from low level visual features (simple color and texture descriptors) sampled over a wide receptive field. At least for the framework tested, high level semantic knowledge, e.g, the nature of the surrounding objects, is superfluous. Finally, it is shown that when the target object is unambiguously visible, context is only marginally useful. Springer Science + Business Media, LLC, 2006 context nationallicence learning nationallicence streetscenes nationallicence object detection nationallicence scene understanding nationallicence Wolf Lior The Center for Biological and Computational Learning, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Bileschi Stanley The Center for Biological and Computational Learning, Massachusetts Institute of Technology, 02139, Cambridge, MA aut International Journal of Computer Vision Kluwer Academic Publishers 69/2(2006-08-01), 251-261 0920-5691 69:2<251 2006 69 11263 https://doi.org/10.1007/s11263-006-7538-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-006-7538-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wolf Lior The Center for Biological and Computational Learning, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Bileschi Stanley The Center for Biological and Computational Learning, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 69/2(2006-08-01), 251-261 0920-5691 69:2<251 2006 69 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer