Object detection apparatus and method therefor

作者: Masakazu Matsugu , Kenji Tsukamoto , Kan Torii , Kaname Tomite , Atsushi Nogami

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摘要: An object detection apparatus includes a first unit configured to detect portion of an from input image, second different the object, estimation estimate third based on portion, determination determine whether portions, which have been respectively estimated by and units, match each other, output output, if portions result at least one or unit.

参考文章(22)
Pierre Vandergheynst, Mohammad Golbabaee, Alexandre Alahi, Method and system for automatic objects localization ,(2010)
Xin Wang, Shengyin Fan, Hong Yi, Yu Deng, Method, device, and computer-readable medium of object detection ,(2011)
Adrian Zamfir, Mihai Ciuc, Adrian Capata, Alexandru Drimbarean, Methods and apparatuses for foreground, top-of-the-head separation from background ,(2010)
Bianca Zadrozny, Charles Elkan, Transforming classifier scores into accurate multiclass probability estimates Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02. pp. 694- 699 ,(2002) , 10.1145/775047.775151
Edward Hsiao, P Felzenszwalb, D McAllester, D Ramanan, A discriminatively trained, multiscale, deformable part model computer vision and pattern recognition. pp. 1- 8 ,(2008) , 10.1109/CVPR.2008.4587597
Zhe Lin, L.S. Davis, Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 32, pp. 604- 618 ,(2010) , 10.1109/TPAMI.2009.204
Krystian Mikolajczyk, Cordelia Schmid, Andrew Zisserman, Human Detection Based on a Probabilistic Assembly of Robust Part Detectors european conference on computer vision. pp. 69- 82 ,(2004) , 10.1007/978-3-540-24670-1_6
N. Dalal, B. Triggs, Histograms of oriented gradients for human detection computer vision and pattern recognition. ,vol. 1, pp. 886- 893 ,(2005) , 10.1109/CVPR.2005.177
P. Viola, M. Jones, Rapid object detection using a boosted cascade of simple features computer vision and pattern recognition. ,vol. 1, pp. 511- 518 ,(2001) , 10.1109/CVPR.2001.990517