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In this paper we address the problem by managing the insertion of new points and deletion of unnecessary points to better describe and track the object's boundary. In particular, our method uses more points in highly curved parts of the contour, and fewer points in less curved parts. The proposed algorithm can successfully define the contour of the object, and can track the contour in complex images...
Obstacle detection is very crucial for mobile robots. The algorithm presented in this paper makes use of motion cues in the video streams. Firstly, we calculate optical flow at feature points. Then rotation of the camera and FOE (focal of expansion) are evaluated separately. Rotation and FOE value are refined according to an iterative linear method. Finally, we get inverse TTC (time to contact) with...
A compressed stereoscopic video stream is sensitive to the loss of data packets when transmitted over Internet. One approach to combat the impact of such a case is the use of error concealment at the decoder. In this paper, an error concealment algorithm is proposed for restoring the entire lost right frame. Firstly, the characteristics of stereoscopic video sequence are analyzed, then based on relativity...
How to get high-resolution face image from low-resolution video sequence with time-saving demand is an important problem. In this paper, a new framework is described to extract high-resolution face image from video sequence. Firstly, the real-time face detection based on AdaBoost algorithm and Haar like feature is implemented. The detected face area is segmented from the background to form a face...
In this paper, the existing approaches to and open problems of extracting moving objects from a video sequence were reviewed briefly, and a novel method was proposed and verified. The method extracts contours of moving objects mainly by combining gradient information extracting with three-frame-differencing and connectivity-testing-based noise reduction. The results of theoretical analyses and computer...
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