Developments in multimedia technology, increasing number of image retrieval functions and capabilities has led to the rapid growth of CBIR techniques. Colour histogram could be compared in terms of speed and efficiency. We have presented a modified approach based on a composite colour image histogram. A major research perspective in CBIR emphasize on matching similar objects based on shape, col...

Color histograms are widely used for content-based image retrieval. Their advantages are eeciency, and insensitivity to small changes in camera viewpoint. However, a histogram is a coarse characterization of an image, and so images with very diierent appearances can have similar histograms. We describe a technique for comparing images called histogram re-nement, which imposes additional constra...

One of the important task in most of Content Based Image Retrieval(CB1R) system is similarity matching. Similarity matching requires distance computation of feature vectors for each candidate image in image database. Conventional algorithms based on exhaustive search are highly time consuming and inefficient. With rapid increase in database size, there is a growing need of a fast and efficient ...

The background modeling algorithm based on Gaussian mixture model (GMM) is a widely used method in moving objects detection with static cameras. Base on the situation that traditional Gaussian mixture model is very sensitive to sudden illumination variation and is slow for convergence speed, this paper proposed a method to detect the illumination variation and update the single learning rate, i...

Average Motion Energy (AME) image is a good way to describe human motions. However, it has to face the computation efficiency problem with the increasing number of database templates. In this paper, we propose a histogram-based approach to improve the computation efficiency. We convert the human action/gait recognition problem to a histogram matching problem. In order to speed up the recognitio...

Color histogram matching has been shown to be a promising way of quickly indexing into a large image database. Yet, few experiments have been done to test the method on truly large databases, and even if they were performed, they would give little guidance to a user wondering if the technique would be useful with his or her database. In this paper we deene and analyze a measure relevant to exte...

One very influential method for texture synthesis is based on the steerable pyramid by alternately imposing marginal statistics on the image and the pyramid’s subbands. In this work, we investigate two extensions to this framework. First, we exploit the steerability of the transform to obtain histograms of the subbands independent of the local orientation; i.e., we select the direction of maxim...

In this paper we present a system for topologically localizing a mobile robot using color histogram matching of omnidirectional images. The system is intended for use as a navigational tool for the Autonomous Vehicle for Exploration and Navigation of Urban Environments (AVENUE) mobile robot. Our method makes use of omnidirectional images which are acquired from the robot’s on-board camera. The ...

To manipulate large video database, effective video indexing and retrieval are required. A large number of video retrieval algorithms have been presented for framewise user query or video content query, whereas a few video-sequence matching algorithms have been investigated. In this paper, we propose an efficient algorithm for video sequence matching using the modified Hausdorff distance and th...

In this paper, we proposed a new fingerprint matching algorithm based on local geometric feature of fingerprint minutia and texture feature for each minutia. To describe the geometric feature of fingerprint minutia, we build a bi-minutia based bar model and get the geometric relationship between the bar and ridges of two candidate minutia; to demonstrate the texture feature, we creatively adopt...