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The rejoining of oracle bone inscription is an important process of oracle bone arrangement. In this paper, we proposed the algorithms for contour information extracting and tracking from these shell images and vector extracting algorithms of the feature of the contour fragments. We proposed the technical route and implementation method of establishing oracle shell images database, and developed a...
Recognition of human-vehicle interactions is a challenging problem. The occlusion by vehicles and motion of humans contribute to the difficulty. In this paper, we present a novel approach for the view independent recognition of human-vehicle interactions. The shape based matching of synthetic 3D vehicle models is used for accurate localization of vehicles and for the specification of regions-of-interest...
This paper presents 2D shape matching technique using hierarchical tree structure extracted from shock graph that in turn extracted from the skeleton of the shape of interest. Object recognition and shape matching are important issues in the field of image processing. Extraction and application of skeleton of a shape is widely used in these fields. In this paper shape representation, matching and...
Fourier descriptors (FDs) is a classical but still popular method for contour matching. The key idea is to apply the Fourier transform to a periodic representation of the contour, which results in a shape descriptor in the frequency domain. Fourier descriptors have mostly been used to compare object silhouettes and object contours; we instead use this well established machinery to describe local regions...
In batch learning all the training examples have to be available at once to train the model, which often leads to slow performance and large memory requirements. Little work has been done in developing incremental object learners. In this paper, we present an incremental method that finds corresponding points of similar object instances, appearing in natural grayscale images with arbitrary location,...
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the...
Text is a vital feature in applications of computer vision. Traditional Chinese character recognition techniques are mainly based on optical character recognition (OCR), however, they can't obtain satisfactory results from images affected by complex circumstance, such as different viewpoint, scale changes, addition of noise and complex background. To solve these problems, inspired by SIFT descriptor,...
A new image mosaic algorithm of regional characteristics matching based on fuzzy sets recognition method is presented in this paper. Using shape features such as perimeter, area, flattening and aspect ratio as regional features, introducing fuzzy sets recognition method, it is possible to identify the right matching points. Then image mosaic can be achieved by adopting 8 parameter projection conversion...
This paper provides a web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
This paper proposes a novel gait recognition method based on fast shape matching algorithm. First, we propose a simple but effective gait cycle estimating method and analyze the periodic property of gait sequences. Each frame in the sequence is assigned a phase. Those frames with the same phase are averaged to clean noises. As a result, the original long sequence with dozens of frames is simply represented...
A novel shape similarity measure based on membership function is proposed in this work to make the measure more consistent with human perception and improve the matching accuracy. The proposed method commences with extraction of feature vectors of shapes in training shape set, then a fuzzy set over each eigenvalue space is defined. The membership function of the fuzzy set is defined and acts as a...
This paper proposes a part-based template matching method for multi-view human detection. The proposed method includes two stages: matching and verification. In particular, the best individual matching parts given a detection window are determined using an improved template matching algorithm. The hypothesis of the matched parts forming a human is then verified by employing a Bayesian-based model...
Traffic sign recognition is a technology which allows us to recognize signs in real time, typically in videos, or sometimes just (off-line) in photos. It is used for Driver Assistance Systems (DAS), road surveys, or the management of road assets (to improve road safety). In this paper, we propose a method for general traffic sign recognition (tested for the New Zealand road signs) which combines previously...
This paper proposes novel algorithms for color based segmentation and shape based matching of forest fires from video frames. Fire pixels from the sample images are collected and compose 3D point cloud in RGB color space, based on which Gaussian mixture model is used to build a more precise color model. According to new definition of flame pattern, possible fire region is further segmented with the...
This paper proposed a biometric identification system through 2D fingers' geometry measurements. The hand image captured from digital camera was first preprocessed to segment hand and its contour out from background. Then the finger tops and valleys were located by tracking out the maximum and minimum radial distances to a wrist reference point. The geometry features of index, middle, ring and little...
This paper introduces a method for extracting the distinctive feature of rotation invariance from image that shows reliable matching between images of different angle. First, we use the method of Harris corner detection for finding the interest points from the two images to be matched, in which an extreme tactics is adopted for exactly determining the interest points. Follow by adopting a sub-block...
Active appearance model (AAM) has been widely used for modeling the shape and the texture of deformable objects and matching new ones effectively. The traditional AAM consists of two parts, shape model and texture model. In the texture model, for the sake of simplicity, the image intensity is usually employed to represent the texture information. However, the intensity is easy to be interfered by...
This paper provides a Web content-based image searching engine based on SIFT (Scale Invariant Feature Transform) feature matching. SIFT descriptors, which are invariant to image scaling and transformation and rotation, and partially invariant to illumination changes and affine, present the local features of an image. Therefore, feature keypoints can be extracted more accurately by using SIFT than...
Action recognition is a challenging problem in video analytics due to event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. Central to these challenges is the way one models actions in video, i.e., action representation. In this paper, an action is viewed as a temporal sequence of local shape-deformations of centroid-centered object silhouettes, i...
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three steps, namely association, fusion and linkage. For association, local trajectory pairs corresponding to the same physical object are estimated using multiple spatio-temporal features on a common ground-plane. To disambiguate...
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