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We presented an application of SURF operator and epipolar constraint for stereo matching of binocular citrus images. First, R-B space images were achieved by linear transform of original images' color space. Second, fast Hessian-matrix detector was used to detect the interest points and the SURF descriptor was used to describe the points' features. Finally, Euclidean distance and the epipolar constraint...
This paper presents a simplified image recognition algorithm. This algorithm, with a combination of region-based matching and feature-based matching, uses only a small amount of computation to achieve rapid identification of a target positioning. Experiments indicate that the algorithm shows smooth and fast recognition and accurate positioning on a single video track of the dynamic object recognition.
With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS...
The concept of active tracking is presented to simulate the characteristics of human vision in intelligent visual surveillance. The Pan/Tilt/Zoom (PTZ) camera is generally used for active tracking. In this paper, we present a novel and effective approach for active object tracking with a PTZ camera, and construct a near real-time system for indoor and outdoor scenes. The tracking algorithm of our...
In this paper we implement a vision based moving Object Tracking system with Wireless Surveillance Camera which uses a color image segmentation and color histogram with background subtraction for tracking any objects in non-ideal environment. The implementation of the moving video objects can be based on any one of the tracking algorithms such as Template matching, Continuously Adaptive Mean Shift...
This paper presents a study of cell-phone camera model linkage that matches digital images against potential makes / models of cell-phone camera sources using camera color interpolation features. The matching performance is examined and the dependency on the content of training image collection is evaluated via variance analysis. Training content dependency can be dealt with under the framework of...
Many computer vision algorithms for pattern matching, object tracking, and 3-D reconstruction, etc., begin with feature detection and matching. Common feature detectors such as Harris, Sobel, Canny, and Difference of Gaussians perform basic linear algebra operations on an image in order to identify "corners" or "edges" for matching. These detectors however, require single-channel...
Motion estimation in detail is required by many vision applications. Conventional method such as optical flow method is often used to calculate the motion between two image frames. Color based constraint such as the assumption of brightness constancy underlies most optical flow estimation methods. However, it is impossible to calculate precise optical flows from only color value, since changing view...
This paper presented a video moving object segmentation and tracking system based on the active contour and the color classification models. First, the active contour model is applied to segment the target object in the initial frame. From the segmented object, the object and background regions are extracted. Then the object and the background regions are separately clustered according to color feature...
Natural image matting is a task to estimate fractional opacity of foreground layer from an image. Many matting methods have been proposed, and most of them are trimap-based. Among these methods, closed-form matting offers both trimap-based and scribble-based matting. However, the closed-form method causes significant errors at background-hole regions due to over-smoothing. In this paper, we identify...
Most commonly used CAPTCHAs are text-based CAPTCHAs which relay on the distortion of texts in the background image. With the development of automated computer vision techniques, which have been designed to remove noise and segment the distorted strings to make characters readable for OCR, traditional text-based CAPTHCAs are not considered safe anymore for authentication. A novel image based CAPTCHA...
Depth generation is the key technology in the 3DTV system. Due to the demands for accuracy and real-time execution, local methods are more suitable, but the challenge is to decide an appropriate window for each pixel. We propose a novel local method, which constructs the support windows adaptively only based on the intensity, and the process has no relation with disparities. This is the main difference...
Shopping carts have traditionally been used as a tool provided to the customers in retail stores to carry items from the shelf to checkout stations. These days shopping carts can also be used as a security checkpoint to prevent store losses. All the items collected in a shopping cart are supposed to be unloaded at the checkout station to be scanned and included in the bill. Any items left in the cart...
The conventional wide-baseline image matching solely relies on identifying the same local features of two wide-baseline images under matching to establish pixel-to-pixel correspondence based on the nearest neighbor matching criterion. However, a large number of mismatches would be incurred especially for those images containing complicated scene. In order to effectively reduce mismatches, we propose...
This paper proposes a way to transfer the visual style of a painting as characterised by colour contrast to a photographic image by manipulating the visual attributes in terms of hue, saturation and lightness. We first extract the visual characteristics in hue, saturation and lightness from a painting. Then, these characteristics are transferred to a photographic image by histogram matching in saturation...
For improving environmental visual perception of indoor robots more accurate and faster, a new model based on image multi-feature fusion is proposed. The hierarchical match mode is used to match real-time collected images of indoor robot with various multi-directional and multi-state images in a database. After establishing a database of 1000 images, average accuracy, average recall ratio and average...
In the field of nanotechnology, tracking freely swimming microorganisms under a microscope is difficult. An image of the target often rotates and changes shape as it moves. Further, the difficulty increases with background changes and fluctuations of colors and the brightness because of differences in the surrounding environment. To address these problems, we propose a tracking method combined with...
In this paper, we present a new methodology for detecting lane markers that is able to withstand many challenging situations like scattered shadows, illumination changes, and presence of neighboring vehicles to name a few. At first, the input image undergoes a perspective removal followed by a color space conversion. Then, the core elements consisting of template matching, lane region merging, and...
We are focused on how to describe a common image point distinctively, make its descriptor concise and invariant to general image transformations. We use neighborhood pixel characteristics, including HSV color space, Gaussian-weighted gradient magnitudes and orientations, sampled in specific window around interest point to enhance the description. The enhanced point descriptor (EPD) is a covariance...
Generally on CCD Bayer CFA images, compression is performed after demosaicing. Nowadays, for better image quality compression-first schemes are preferred over the conventional demosaicing-first schemes. In some high-end photography applications, original CFA images are required; in such cases lossless compression of CFA images is necessary. A fair performance is obtained for CFA images by lossless...
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