{"id":366,"date":"2010-06-23T11:08:34","date_gmt":"2010-06-23T15:08:34","guid":{"rendered":"https:\/\/wpmu2.mit.local\/?p=366"},"modified":"2010-06-23T11:08:34","modified_gmt":"2010-06-23T15:08:34","slug":"ichiro-masaki","status":"publish","type":"post","link":"https:\/\/wpmu2.mit.local\/ichiro-masaki\/","title":{"rendered":"Ichiro Masaki"},"content":{"rendered":"
Yajun Fang, Sumio Yokomitsu, Berthold Horn, Ichiro Masaki, \u201cA Layered-based Fusion-based Approach to Detect and Track the Movements of Pedestrians through Partially Occluded Situations.\u201d IEEE Intelligent Vehicles Symposium 2009 (IV2009). Best Conference Poster Award\u201d for The IEEE 2009 Intelligent Vehicles Symposium<\/p>\n
Berthold Horn, Yajun Fang, Ichiro Masaki, \u201cHierarchical framework for direct gradient-based time-to-contact estimation.\u201d IEEE Intelligent Vehicles Symposium 2009 (IV2009).<\/p>\n
Fang. Y., Horn. B.K.P., Masaki I., \u201cSystematic information fusion methodology for static and dynamic obstacle detection in ITS.\u201d 15th World Congress On ITS, 2008. First Prize for \u201cStudent Essay Competition\u201d 15th\u00a0 World Congress on ITS<\/p>\n
Horn. B.K.P., Fang. Y., Masaki I., \u201cTime to Contact Relative to a Planar Surface.\u201d Berthold Horn, Yajun Fang, Masaki. I., IEEE Intelligent Vehicles Symposium 2007 (IV2007).<\/p>\n
Herrington, W.F., Jr., Horn. B. K. P. and Masaki. I., “Application of the Discrete Haar Wavelet Transform to Image Fusion for Nighttime Driving”, IEEE Intelligent Vehicles Symposium 2005 (June 6-8, 2005),<\/p>\n
Fang, Y., K. Yamada, Y. Ninomiya,\u00a0\u00a0 B.\u00a0 Horn and Masaki. I., \u201cA Shape-Independent-Method for Pedestrian Detection with Far Infrared-images.\u201d\u00a0 Special issue on “In-Vehicle Computer Vision Systems” of IEEE Transactions on Vehicular Technology, Vol.53, No.6, Nov. 2004, pp.1679-1697.<\/p>\n
Fang, Y., K. Yamada, Y. Ninomiya, Horn. B. K. P. and Masaki. I., \u201cComparison between Infrared-image-based and Visible-image-based Approaches for Pedestrian Detection,\u201d IEEE Intelligent Vehicles Symposium 2003 (IV2003, pp.505-510). First Prize, Best Paper Award by IEEE ITS Council<\/p>\n
Kato. T., Ninomiya. Y., Masaki. I., “An Obstacle Detection Method by Fusion of Radar and Motion Stereo.” SICE Annual Conference in Fukui, August 4-6, 2003<\/p>\n
Fang, Y., Masaki. I. and\u00a0 Horn. B. K. P., \u201cDepth-Based Target Segmentation for Intelligent Vehicles: Fusion of Radar and Binocular Stereo,\u201d IEEE Transactions on Intelligent Transportation Systems, Vol.3, No.3, Sept. 2002, pp.196-202.<\/p>\n
Kato. T., Ninomiya. Y., Masaki. I., “An Obstacle Detection Method by Fusion of Radar and Motion Stereo.”\u00a0\u00a0 IEEE Transactions on Intelligent Transportation Systems, Vol.3, No.3, Sep. 2002, pp.182-188.<\/p>\n
Kato. T., Ninomiya. Y., Masaki. I., \u201cPreceding vehicle recognition based on learning from sample images.\u201d IEEE Transactions on Intelligent Transportation Systems, Vol.3, No.4, Dec. 2002, pp.252-260.<\/p>\n
Fang, Y., Masaki. I. and Horn. B. K. P., \u201cDistance\/Motion Based Segmentation under Heavy Background Noise,\u201d IEEE Intelligent Vehicles Symposium 2002 (IV2002, pp.483-488).<\/p>\n
Fang, Y., Ninomiya. Y., Masaki. I., \u201cIntelligent Transportation Systems, Challenges and Opportunities,\u201d The 2nd<\/sup> International Symposium on Multimedia Mediation Systems, 2002 (pp.72-77). Invited Paper<\/p>\n Fang, Y., Masaki. I. and Horn. B. K. P., \u201cDistance Range Based Segmentation in Intelligent Transportation Systems: Fusion of Radar and Binocular Stereo,\u201d IEEE Intelligent Vehicles Symposium 2001 (IV2001, pp.171-176).<\/p>\n Yajun Fang, Marcelo Mizuki, Berthold Horn, Ichiro Masaki, \u201cTV Camera-based Vehicle Motion Detection and its Chip Implementation.\u201d IEEE Intelligent Vehicles Symposium 2000\u00a0 (IV2000, pp.134-139).<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":" VLSI architecture. Emphasis on interrelationship among applications, systems, algorithms, and chip architectures. Major application fields include intelligent transportation systems, video, and multimedia. <\/p>\n<\/div>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[80],"tags":[18,59],"_links":{"self":[{"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/posts\/366"}],"collection":[{"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/comments?post=366"}],"version-history":[{"count":1,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/posts\/366\/revisions"}],"predecessor-version":[{"id":2380,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/posts\/366\/revisions\/2380"}],"wp:attachment":[{"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/media?parent=366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/categories?post=366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpmu2.mit.local\/wp-json\/wp\/v2\/tags?post=366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}