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Compared with the traditional interaction approaches, such as keyboard, mouse, pen, etc, vision based hand interaction is more natural and efficient. In this paper, we proposed a robust real-time hand gesture recognition method. In our method, firstly, a specific gesture is required to trigger the hand detection followed by tracking; then hand is segmented(More)
Selective sampling has been widely used in relevance feedback of image retrieval to alleviate the burden of labeling by selecting the most informative instances for user to label. Traditional sample selection scheme often selects a batch of instances each time and label them simultaneously, which ignores the correlation among instances and results in(More)
As an emerging human-computer interaction ap-proachvision based hand interaction is more natural and efficient. Howeverin order to achieve high accuracy , most of the existing hand posture recognition methods need a large number of labeled samples which is expensive or unavailable in practice. In this paper , a co-training based method is proposed to(More)
—Behavior analysis across multi-cameras becomes more and more popular with the rapid development of camera network in video surveillance. In this paper, we propose a novel unsupervised graph matching framework to associate trajectories across partially overlapping cameras. Firstly, trajectory extraction is based on object extraction and tracking and is(More)
In this paper, we propose a novel solution of anomaly detection in crowd scene by jointly modeling appearance and dynamics of motion. First, a novel high-frequency feature based on optical flow (HFOF) is introduced. It can well capture the dynamic information of optical flow. Besides, we adopt the other two types of features, namely multi-scale histogram of(More)
Smart phones and external large displays are a superior combination for content sharing and multiple person interaction. However, the potential of such a combination is not fully explored due to the lack of effective and portable interaction solutions. To solve this problem, we present a novel mobile solution called Plug&Touch, which is very easy to be(More)