Multi-view People Detection on Arbitrary Ground in Real-time
作者： Tamás Szirányi , Ákos Kiss , Ákos Kiss
DOI:
关键词: Computer science 、 Projection (set theory) 、 Computer vision 、 Artificial intelligence 、 Computer graphics (images)
摘要:
参考文章(11)
Anurag Mittal, Larry S. Davis, M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo european conference on computer vision. pp. 18- 36 ,(2002) , 10.1007/3-540-47969-4_2
L. Havasi, Z. Szlavik, T. Sziranyi, Detection of Gait Characteristics for Scene Registration in Video Surveillance System IEEE Transactions on Image Processing. ,vol. 16, pp. 503- 510 ,(2007) , 10.1109/TIP.2006.888339
Akos Utasi, Csaba Benedek, A 3-D marked point process model for multi-view people detection CVPR 2011. pp. 3385- 3392 ,(2011) , 10.1109/CVPR.2011.5995699
Kideog Jeong, Christopher Jaynes, Object matching in disjoint cameras using a color transfer approach machine vision applications. ,vol. 19, pp. 443- 455 ,(2008) , 10.1007/S00138-007-0079-X
Ran Eshel, Yael Moses, Tracking in a Dense Crowd Using Multiple Cameras International Journal of Computer Vision. ,vol. 88, pp. 129- 143 ,(2010) , 10.1007/S11263-009-0307-0
J. Berclaz, F. Fleuret, P. Fua, Robust People Tracking with Global Trajectory Optimization computer vision and pattern recognition. ,vol. 1, pp. 744- 750 ,(2006) , 10.1109/CVPR.2006.258
Laszlo Havasi, Zoltan Szlavik, A method for object localization in a multiview multimodal camera system computer vision and pattern recognition. pp. 96- 103 ,(2011) , 10.1109/CVPRW.2011.5981796
F. Fleuret, J. Berclaz, R. Lengagne, P. Fua, Multicamera People Tracking with a Probabilistic Occupancy Map IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 30, pp. 267- 282 ,(2008) , 10.1109/TPAMI.2007.1174
C. Benedek, T. Sziranyi, Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos IEEE Transactions on Image Processing. ,vol. 17, pp. 608- 621 ,(2008) , 10.1109/TIP.2008.916989
S.M. Khan, M. Shah, Tracking Multiple Occluding People by Localizing on Multiple Scene Planes IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 31, pp. 505- 519 ,(2009) , 10.1109/TPAMI.2008.102