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The spatio-temporal data is our cognition to external matter and the spatio-temporal data model is the fundamental basic to manage the spatio-temporal data. The spatio-temporal object is always changi...
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force search to perform obje...
A new algorithm which associates (Multiple Signal Classification) MUSIC with acoustic scattering model for bearing and range estimation is proposed. This algorithm takes into account the reflection an...
In this paper, we present a multimedia scene representation application implementing MPEG4-Part 20 Lightweight Application Scene Representation standard (LASeR). In an interactive multimedia scene, we...
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study the spatial relationshi...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
Recently the “bag of words” model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called “visual words”, and recognize object...
In this paper, we present a robust and unsupervised approach for recognition of object categories, RTSI-pLSA, which overcomes the weakness of TSI-pLSA in recognizing rotated objects in images. Our app...
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results of four successive fr...
This paper proposes a new algorithm to segment moving objects from color sequences accurately. The segmentation procedure is treated as a Markovian labeling process and formulated by a hierarchical M...
Unsupervised Segmentation of Moving Object by Region-based MRF Model and Occlusion Detection.

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