Fast PRISM: branch and bound Hough transform for object class detection

DOI10.1007/S11263-010-0342-XzbMath1235.68273OpenAlexW2168373637MaRDI QIDQ409088

Alain Lehmann, Luc Van Gool, Bastian Leibe

Publication date: 12 April 2012

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/20.500.11850/27008

zbMATH Keywords

branch and boundHough transformobject detectionsliding-windowsoft-matchingspatial pyramid histograms

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items (3)

Random forest with adaptive local template for pedestrian detection ⋮ Fast PRISM: branch and bound Hough transform for object class detection ⋮ A branch-and-bound framework for unsupervised common event discovery

Uses Software

• SURF

Cites Work

• Fast PRISM: branch and bound Hough transform for object class detection
• Generalizing the Hough transform to detect arbitrary shapes
• Matching pursuits with time-frequency dictionaries
• Training a Support Vector Machine in the Primal
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