Hironobu Fujiyoshi
Hironobu Fujiyoshi
Professor, Chubu University
Verified email at isc.chubu.ac.jp - Homepage
Cited by
Cited by
Moving target classification and tracking from real-time video
AJ Lipton, H Fujiyoshi, RS Patil
Proceedings fourth IEEE workshop on applications of computer vision. WACV'98 …, 1998
A system for video surveillance and monitoring
RT Collins, AJ Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, ...
VSAM final report 2000, 1-68, 2000
Algorithms for cooperative multisensor surveillance
RT Collins, AJ Lipton, H Fujiyoshi, T Kanade
Proceedings of the IEEE 89 (10), 1456-1477, 2001
Real-time human motion analysis by image skeletonization
H Fujiyoshi, AJ Lipton, T Kanade
IEICE TRANSACTIONS on Information and Systems 87 (1), 113-120, 2004
A system for video surveillance and monitoring: VSAM final report
R Collins, A Lipton, T Kanade, H Fujiyoshi, D Duggins, Y Tsin, D Tolliver, ...
Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University, 2000
Real-time human detection using relational depth similarity features
S Ikemura, H Fujiyoshi
Asian Conference on Computer Vision, 25-38, 2010
Attention branch network: Learning of attention mechanism for visual explanation
H Fukui, T Hirakawa, T Yamashita, H Fujiyoshi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Gradient-based feature extraction: Sift and hog
H Fujiyoshi
Information Processing Society of Japan Research Paper CVIM160, 211-224, 2007
Evaluating feature importance for object classification in visual surveillance
M Tsuchiya, H Fujiyoshi
18th International Conference on Pattern Recognition (ICPR'06) 2, 978-981, 2006
Virtual camerawork for generating lecture video from high resolution images
T Yokoi, H Fujiyoshi
2005 IEEE International Conference on Multimedia and Expo, 4 pp., 2005
Boosted random forest
Y Mishina, R Murata, Y Yamauchi, T Yamashita, H Fujiyoshi
IEICE TRANSACTIONS on Information and Systems 98 (9), 1630-1636, 2015
Pedestrian detection based on deep convolutional neural network with ensemble inference network
H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase
2015 IEEE Intelligent Vehicles Symposium (IV), 223-228, 2015
People detection based on co-occurrence of appearance and spatiotemporal features
Y Yamauchi, H Fujiyoshi, BW Hwang, T Kanade
2008 19th International Conference on Pattern Recognition, 1-4, 2008
Layered detection for multiple overlapping objects
H Fujiyoshi, T Kanade
IEICE Transactions on Information and systems 87 (12), 2821-2827, 2004
Object detection device
H Fujiyoshi
US Patent 8,611,604, 2013
Image segmentation using iterated graph cuts based on multi-scale smoothing
T Nagahashi, H Fujiyoshi, T Kanade
Asian Conférence on Computer Vision, 806-816, 2007
Object detection by joint features based on two-stage boosting
T Mitsui, H Fujiyoshi
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
Apparatus for recognizing object in image
M Takaki, H Fujiyoshi
US Patent 8,027,514, 2011
Relational hog feature with wild-card for object detection
Y Yamauchi, C Matsushima, T Yamashita, H Fujiyoshi
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
Traffic sign recognition using SIFT features
M Takaki, H Fujiyoshi
ITEIS 129 (5), 824-831, 2009
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