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Region-based image retrieval system has been an active research topic in areas such as, entertainment, education, multimedia, image classification and searching. The system decomposes an image into discrete regions and each region is described using primitive features such as color, texture, shape or the combination of them. The extracted regions are indexed and retrieved. One of the key issues with...
Multiple objects tracking is a challenging task. This article presents an algorithm which can detect and track multiple objects, and update target model automatically. The contributions of this paper as follow: Firstly, we use color histogram(HC) and histogram of orientated gradients(HOG) to represent the objects, model update is realized under the frame of kalman filter and gaussian model, secondly...
In order to meet the requirements of users, a content-based image retrieval algorithm for electronic commerce has been investigated combining color features with shape features. The algorithm of image retrieval using both the invariant moment and the Fourier descriptor is proposed to retrieve the shape features of image. The secondary retrieval has been done in succession by use of modified color...
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tuned during the course of tracking by utilizing the main varying components of the pdf of the target's acceleration and velocity. This motion model, along with the color histogram as the measurement model, has been incorporated...
This paper presented a color image tracking method. In order to implement an effective and robust tracking task, a novel approach of weighted color distribution appearance model based on color histogram is discussed, which takes into account the target's shape and position of pixels as necessary factors in target model. Experiment result shows, in contrast with Mean Shift and conventional particle...
This paper proposes an efficient region-based background subtraction technique using static camera for motion detection in various monitoring applications. Color histograms, texture information, and successive division of candidate rectangular image regions are utilized to model the background and detect the motion. The proposed method combines this principle and the Gaussian mixture background modeling...
We propose a similarity measure based on a spatial-color mixture of Gaussians (SMOG) appearance model for particle filters. This improves on the popular similarity measure based on color histograms because it considers not only the colors in a region but also the spatial layout of the colors. Hence, the SMOG-based similarity measure is more discriminative. To efficiently compute the parameters for...
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