Abstract
Due to the wide range of applications human action recognition and its representation is a popular research topic. The aim of action recognition is to automatically identify the action of a person based on some kind of sensor data. In this monograph, we focus on vision sensors that provide a stream of images over time. Detection of human actions or activities based on a video stream is challenging mainly due to the following two processing steps. First, the person has to be detected within the images and its pose has to be estimated, which is very complex due to themany degrees of freedom of the human body (see Chap. 6). In the context of action recognition the pose estimation step is often replaced by the calculation of a motion descriptor.
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© 2015 Springer International Publishing Switzerland
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Spehr, J. (2015). Human Behavior Analysis. In: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities. Studies in Systems, Decision and Control, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-11325-8_7
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DOI: https://doi.org/10.1007/978-3-319-11325-8_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11324-1
Online ISBN: 978-3-319-11325-8
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