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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)
Hand gesture has been used as a natural and efficient way in human computer interaction. Due to independence of auxiliary input devices, vision-based hand interfaces is more favorable for users. However, the process of hand gesture recognition is very time consuming, which often brings much frustration to users. In this paper, we propose a fast feature(More)
Gesture is one of the most natural and expressive ways of communications between human and computer in a real system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings. Hand gesture recognition based man-machine interface is being(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)
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)
—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)
Person re-identification is one of the most critical tasks in the field of computer vision and has widely applications for abnormal detection and object retrieval in video surveillance. In this paper, we give an extensive comparison for different kinds of visual features including hand-craft features and Convolutional Neural Networks (CNN) features. We run(More)