A shape-based voting algorithm for pedestrian detection and tracking

DOI10.1016/J.PATCOG.2010.10.012zbMath1209.68439OpenAlexW1984977176MaRDI QIDQ632600

Juan-Miguel Gracia

Publication date: 25 March 2011

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.10.012

zbMATH Keywords

Hough transformscene analysisshape trackingvideo analysis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (2)

Measures for ranking cell trackers without manual validation ⋮ MOUGH

Uses Software

• Pfinder

Cites Work

• Generalizing the Hough transform to detect arbitrary shapes
• An unsupervised generalized Hough transform for natural shapes
• Bias error analysis of the generalised Hough transform
• Mixture Models, Outliers, and the EM Algorithm
• Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
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