The concept of an occlusion mesh model is introduced. An object tracking algorithm based on an occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. A...
详细信息
The concept of an occlusion mesh model is introduced. An object tracking algorithm based on an occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. A mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experimental results indicate that the proposed algorithm is practical and feasible, it can be used for object tracking effectively. Also it solves the 2D motion estimation problem existing in occlusion regions and shows better visual performance.
An improved Zernike moment using a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not ha...
详细信息
In this paper, we proposed a new Primitive-Structure- Based approach for extracting rectangle building from aerial urban images. We obtain all kinds of primitive-structure that compose rectangle by analysing geometric...
详细信息
This paper described an ontology based multi agent knowledge process made (MAKM) which is one of multi agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in...
详细信息
This paper described an ontology based multi agent knowledge process made (MAKM) which is one of multi agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.
Motion estimation of articulated objects with two subparts from monocular images are studied in this paper for three cases: 1) one subpart translates, and the other one rotates around the joint;2) the two rotation axe...
详细信息
A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies ...
详细信息
A method that incorporates edge detection technique, Markov Random field (MRF), watershed segmentation and merging techniques was presented for performing image segmentation and edge detection tasks. It first applies edge detection technique to obtain a Difference In Strength (DIS) map. An initial segmented result is obtained based on K-means clustering technique and the minimum distance. Then the region process is modeled by MRF to obtain an image that contains different intensity regions. The gradient values are calculated and then the watershed technique is used. DIS calculation is used for each pixel to define all the edges (weak or strong) in the image. The DIS map is obtained. This help as priority knowledge to know the possibility of the region segmentation by the next step (MRF), which gives an image that has all the edges and regions information. In MRF model,gray level l, at pixel location i, in an image X, depends on the gray levels of neighboring pixels. The segmentation results are improved by using watershed algorithm. After all pixels of the segmented regions are processed, a map of primitive region with edges is generated. The edge map is obtained using a merge process based on averaged intensity mean values. A common edge detectors that work on (MRF) segmented image are used and the results are compared. The segmentation and edge detection result is one closed boundary per actual region in the image.
This paper deals with motion estimation from image corner correspondences for two cases: the orthogonal corner and the general corner with known space angles. The contribution of the paper is threefold. First, the thr...
详细信息
ISBN:
(纸本)0769515371
This paper deals with motion estimation from image corner correspondences for two cases: the orthogonal corner and the general corner with known space angles. The contribution of the paper is threefold. First, the three dimensional structure of a corner is recovered easily from its image by introducing a new coordinate system. Second, it is shown that the correspondence of one corner and two points over two views is sufficient to determine the motion uniquely, i.e., the rotation and translation. Third, experiments conducted using both simulated data and real images present good results.
Motion compensation de interlacing is expected to be better than linear techniques; but all the block based motion compensation de interlacing methods cause block artifacts. The algorithm proposed in this paper is con...
详细信息
Motion compensation de interlacing is expected to be better than linear techniques; but all the block based motion compensation de interlacing methods cause block artifacts. The algorithm proposed in this paper is concerned with reducing the deficiency of motion compensated interpolation by using adaptive hybrid de interlacing methods. A spatio temporal tensor based approach is used to get more accurate motion field for de interlacing. Motion vector is assigned for each position with pixel precision; the block artifact is reduced significantly. To deal with the artifacts introduced by motion compensation when the motion estimation is incorrect, linear techniques are considered by adaptive weighting. Furthermore, directional filter is adapted to preserve details and the edge discontinuity could be eliminated greatly. Our approach is robust to incorrect motion vector estimation.
This paper described an ontology-based multi-agent knowledge process made (MAKM) which is one of multi-agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in...
详细信息
This paper described an ontology-based multi-agent knowledge process made (MAKM) which is one of multi-agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.
An algorithm for contour matching is presented in this paper. It is implemented in two steps: firstly, bottom-up, corners are matched, the matched corner points guide line segment matching, and then the matched line s...
详细信息
暂无评论