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Chapter and Conference Paper
Abnormal Event Detection Based on Multi-scale Markov Random Field
In this paper, we present a novel unsupervised method for abnormal behavior detection, which considers both local and global contextual information. For the local contextual representation, we firstly divide v...
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Chapter and Conference Paper
Recognizing Realistic Action Using Contextual Feature Group
Although the spatial–temporal local features and the bag of visual words model (BoW) have achieved a great success and a wide adoption in action classification, there still remain some problems. First, the loc...
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Chapter and Conference Paper
Human Daily Action Analysis with Multi-view and Color-Depth Data
Improving human action recognition in videos is restricted by the inherent limitations of the visual data. In this paper, we take the depth information into consideration and construct a novel dataset of human...
