Due to the absence of features that may be extracted from face, heading direction estimation for low resolution images is a difficult task and requires the taking into account all information that may be inferred from human body in image, particularly its silhouette. We propose in this paper a set of geometric features extracted from shape head-shoulders, feet and knees shapes which jointly allow the estimation of body direction. Other features extracted from head-shoulders are proposed for heading direction estimation based on body direction. The constraint of camera position related to proposed features is discussed and results of conducted experiments are presented. © 2013 Springer-Verlag.
CITATION STYLE
Bensebaa, A., Larabi, S., & Robertson, N. M. (2013). Head direction estimation from silhouette. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8156 LNCS, pp. 340–350). https://doi.org/10.1007/978-3-642-41181-6_35
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