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In this paper, we propose a maximally stable color regions (MSCR) based method to perform reliable scene recognition. Firstly, to construct the maximally stable regions, we exploit the MSCR detector for improving the identification of stable regions. Secondly, each detected region is processed properly by using the method of mathematics morphology. Finally, the descriptor is computed using the scale...
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part of the image and to subsequently merge all obtained results into one composite segmentation. We identify salient parts of the image by applying affinity propagation clustering to efficiently calculated local color and texture...
In this paper authors have proposed a system to automatically recognize the Trademarks from sports video for channel hyperlinking in client end. In this method we have used the output of Set Top Box (STB) video stream in YUV 4:2:2 formats as input to our application. In this work we have first localized the text regions using some characteristic of text and then recognized the trademark using the...
Given a time-varying face image object, or only a sub-part of the image, the question of whether the template object image exists in a given image database is an important problem our days, which still remains in its infancy, due to the many challenges it involves. With the advantage of distributed computing, such as computation sharing and data storage sharing, the limitations of image retrieval...
Nowadays, sign language is commonly used as a communication language for auditory handicapped people. In addition to voice and controller pads, hand gestures can also be an effective way of communication between humans and robots or even between auditory handicapped people and robots. To be an effective sign recognition system, it should be glove-free, fast, small database and accurate. In this project,...
This paper presents a novel color face recognition approach based on 2DPCA. A matrix-representation model, which encodes the color information directly, is proposed to describe the color face image. The matrix-representation model defines the pixel in color face image as the basic unit, the color information of the pixel as the basic component, and then represents the color face image efficiently...
The existing use of summary statistics from co-occurrence matrices of images for texture recognition and classification has inadequacies when dealing with non-uniform and colored texture such as traditional `Batik?? and `Songket?? cloth motifs. This study uses the Tchebichef orthogonal polynomial as a way to preserve the shape information of cooccurrence matrices generated using the RGB multispectral...
The tasks of autonomous rescue robots operating in unknown environments are manifold. Self localization, map generation and the detection of possible victims are indespensable. Apart from these, other factors can become crucial for the survival of the involved persons and for the safe operation of the robot itself. A first step in autonomously detecting such dangers is the real-time recognition of...
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