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Object tracking is a classic problem in the computer vision field. Its main purpose is to get the locations, the motion parameters, the trajectories and other information of the objects from the videos. An Adaboost tracking algorithm based on the particle framework is proposed in this paper. Due to the existence of high noises in the training samples, the difficulty of the AdaBoost training and the...
3D-TV is well expected as next advancement in television. The conversion technique of two-dimensional (2D) images to 3D images is an effective way to alleviate the shortage of 3D contents. The most important and difficult problem in 2D-to-3D conversion is how to generate or estimate depth information using only a single-view image. In this paper, a new approach to estimate depth map from monocular...
Pattern mining gains more and more attention due to its useful applications in many areas, such as machine learning, database, multimedia, biology, and so on. Though there exist a lot of approaches for pattern mining, few of them consider the local distribution of the data. In the paper, we not only design six challenge datasets related to the local patterns, but also propose a new pattern mining...
Due to the rapid development of motion capture technology, more and more human motion databases appear. In order to effectively and efficiently manage human motion database, human motion classification is necessary. In this paper, we propose an ensemble based human motion classification approach (EHMCA). Specifically, EHMCA first extracts the descriptors from human motion sequences. Then, singular...
In this paper, we propose a new algorithm called fuzzy cluster ensemble algorithm (FCEA) which integrates the fuzzy logic theory and traditional cluster ensembles for 3D head model classification. Specifically, FCEA consists of two parts: (i) data processing on the distributed locations and (ii) data fusion on the centralized location. In the distributed locations, data processing includes (i) extracting...
Proposed a practical compression method using optimal waveband prediction tree, integer wavelet and SPIHT algorithm for MODIS multispectral images effectively. First, an optimal waveband prediction tree is designed for de-correlating the spectral redundancy. Then, spatial redundancy in the image is reduced by using IWT and SPIHT algorithm. Finally the arithmetic algorithm is used to improve the compression...
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