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Person re-identification is to match the appearance based images of an individual who has already been captured by different camera perspectives. This paper presents an appearance based model for person re-identification. It consists of the formation of prototypes followed by a matching strategy. The prototypes are discovered from the visual appearances among the individuals with similar characteristics...
One of the main application of Synthetic Aperture Radar (SAR) data is developing the monitoring system for various applications like land cover and land use dynamics, vegetation mapping, canopy characterization and natural hazards by discriminating the change areas between two different dates images. In this paper, KLT (Kanade-Lucas-Tomasi) tracker has been applied on two different dated (i.e. April,...
Images clicked in night or dark area need enhancement to visualize the objects clearly. Now-a-days this problem is widely emerged out in various application domains. The proposed technique for the dark image enhancement is based on the combination of Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) using Dynamic Stochastic Resonance (DSR). The proposed new technique compensates...
This paper shows a work done under Affective Computing umbrella and in the field of emotion recognition. The paper explores the anatomy of a human face and builds the classification model based on it. The anatomical information of face is used to locate several points on the face and to extract the features. The features are in form of distance vectors which can be of specific person or group of persons...
In the paper, we develop an efficient matching algorithm for recognizing different types of hand gestures. The algorithm has been performed on an input image window in three stages: first the skin regions are segmented using a global threshold technique. Then a curvature scale space (CSS) image is created considering the largest contour of the segmented skin regions. Finally, a novel approach using...
A robust and high quality image watermarking method has high demand for protection of copyrighted multimedia data over internet. The existing image watermarking methods generally exploit the correlated color models due to which only one color component at a time can be used for embedding the watermark. Therefore, in this paper, a novel steerable pyramid transform (SPT) based digital image watermarking...
Humans analyze images mostly on their semantics. But such a semantic clustering of images is one of the difficult tasks in the field of computer vision. A clustering algorithm is proposed in this work to achieve a dataset with images grouped semantically. It does not utilize any background knowledge related either to the semantics of images or the number of clusters formed. The algorithm is based...
This paper addresses the specific problem of human event detection from a video sequence in both indoor and outdoor environments. Foreground image pixels are identified through the principle of background subtraction by defining a reference background model using a mixture of time varying Gaussian distributions. Color filtering in the RGB space is then used to remove image distortions due to camera...
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