The concept behind is to bias the hyperplane and make it consistent with the template-based classifier at each round of boosting stage. Published in: 2014 IEEE ...
The main objective of this work is to alleviate this problem by imposing the matching results from a classifier based on a set of constructed weighted ...
Shih-Shinh Huang, Shih-Han Ku, Pei-Yung Hsiao: Combining Weighted Contour Templates with HOGs for Human Detection Using Biased Boosting.
Section 3 describes how to learn a human detector using the proposed biased boosting which systematically integrates the global contour and local HOGs features.
This work uses distance transform to analyze distances between training samples and human contour template to obtain a classifier based on human outline ...
This paper proposes a new two-stage human detection method involving matching and verification. A Bayesian framework is developed to verify the matching ...
Biased boosting using weighted template matching for pedestrian detection2014 IEEE International Conference on Consumer Electronics - Taiwan10.1109/ICCE-TW ...
Biased boosting using weighted template matching for pedestrian detection. ... Weighted template construction for pedestrian detection using biased boosting.
This paper presents a method to further close the remaining gap of detection capability by investigating visual factors impairing the detectability of objects.
Missing: template | Show results with:template
A probability template is proposed, based on which a template matching technique is used to further reject the negative candidates and the proposed approach ...