Jeong-Jik Seo

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Automatic human action recognition is a core functionality of systems for video surveillance and human-object interaction. However, the diverse nature of human actions and the noisy nature of most video content make it difficult to achieve effective human action recognition. To overcome the aforementioned problems, Sparse Representation (SR) has recently(More)
Human action recognition (HAR) has been attracting much attention in the computer vision arena. In particular, many research efforts were dedicated for developing discriminative feature extraction methods for improving the HAR performance. Among them, trajectory-based features have shown state-of-the-art performance. However, the time-variance of(More)
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