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Correlation tracker has made a huge success in visual object tracking. However, it is mainly because that the tracker cannot catch the occurrence of appearance changes, tracking based on correlation filters often drifts due to the unexpected appearance changes caused by occlusion, deformation and background clutter. In this paper, we propose a new method to detect the case when the tracker encountered...
This paper proposes a method for seamlessly inserting virtual advertisements into a video sequence. The algorithm is based on projective geometric invariant for feature tracking that predicts the feature's location at the next frame under perspective projection. The cross-ratio of points that extracted in pervious frames will provide the geometric constraint to predict the feature position in the...
In this paper, a parametric model for video segmentation and key frame extraction in the video content analysis is proposed. The autoregressive (AR) modeling is used to model the feature sequence of frames over time and to make the future content analysis in the AR parametric space. Based on this parametric framework, detecting shot boundaries in video sequences and extracting key frames from shots...
Facial images with low resolution in surveillance sequences are hard to detect with traditional approaches, and the quality of these faces is a significant factor for human face recognition. A new technique called face scoring, which determines the face scores based on face quality, is proposed. It combines spirits of image-based face detection and essences of video object segmentation to filter out...
A new method for estimating 3D motion and structure of finger from 2D image sequence is proposed in this paper. This problem is challenging not only due to the correspondence problem but also the lack of depth cues in 2D image sequence. In this paper, affine motion is chosen as a suitable model for finger's motion. However, the motion model can also be extended and not necessarily be affine. Analysis...
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