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Instead of using HOG feature on cells or blocks, the extraction of HOG features on corner points is proposed for multiple object visual tracking system in which single or multiple moving objects could be classified. Background subtraction and extraction of corner feature are applied to track and classify the moving objects. Firstly, moving objects will be detected in the form of regions from background...
Histogram equalization is the simplest method of image enhancement. Mean brightness and contrast are important parameters of an image. Artifacts are generated if the original mean brightness of an image is not preserved. A high contrast provides good visual quality. Contrast can be increased by increasing entropy of the image. Entropy can be maximized by making the image histogram as flat as possible...
In this study, an effective approach is proposed for detecting unattended objects in visual surveillance systems. In the proposed approach, the regions of foreground are labeled as moving regions which are determined by background subtraction algorithms in a streamed video from a fixed camera. Moving blobs are used to extract information about events occurring in the environment from which the image...
This paper proposes a Bag of Visual Words (BoVW) based approach for keyword spotting on the Mongolian historical document images. In this paper, the first step is dividing the scanned Mongolian historical document images into word images by some preprocessing steps, such as connected component analysis, binarization etc. Then, all of image in our training set are processed in the following steps,...
Effect of adaptive threshold on shot boundary detection performance is analyzed in this paper, where the threshold is used to determine whether a target frame is a shot boundary or not in a broadcasting video content. Adaptive threshold is calculated using input threshold and visual similarities of adjacent frames of a target frame. The experimental results show that application of adaptive threshold...
Hemocytometer is a special glass plate apparatus used for cell counting that has straight lines (counting chamber) in certain size. Leveraging this special lam and microscope, a cell concentration on an available cell suspension can be estimated. The automation process of hemocytometer images will assist several research disciplines to improve consistency of results and to reduce human labor. Different...
With the rapid advancement in technology it is easy to take pictures, and easier still to share them with the world at large. In this digital age the image data we have has grown manifold over the past few years. Digital Cameras have allowed the capturing and storing of large number of images highly inexpensive and hence we can't go on a trip without taking several hundreds of photographs. We take...
We present a robust particle filter based visual tracker based on an earlier approach called mean-transform which can track a window with orientation and scale changes. This work is the first work combining sparse coding, mean transform and particle filtering in visual tracking. We show that particle filter is effective in enhancing the mean-transform tracker. From the result, we see that such architecture...
We propose a two stage visual matching pipeline including a first step using VLAD signatures for filtering results, and a second step which reranks the top results using raw matching of SIFT descriptors. This enables adjusting the tradeoff between high computational cost of matching local descriptors and the insufficient accuracy of compact signatures in many application scenarios. We describe GPU...
The recognition of places that have already been visited is a fundamental requirement for a mobile robot. This particularly concerns the detection of loop closures while mapping environments as well as the global localization w.r.t. to a prior map. This paper introduces a novel solution to place recognition with 2D LIDAR scans. Existing approaches utilize descriptors covering the local appearance...
A normalized tone-mapping method that can reproduce a 3DTV image with an improved color sensation is proposed. This method uses 128 levels of gray-scale images to measure the RGB tone-curves in both 2D and 3D modes and then models the curves using a piece-wise linear form. To compensate the difference between these two tone-curve models, tone-mapping operators are generated. In addition, the tone-mapping...
Existing tracking approaches are design-varied. Several features have been proposed to describe low, mid and high level cues and used to drive frame to frame tracking correspondences under mainly two strategies: purely matching and discriminative matching. However, despite the enormous amount of approaches proposed, single object tracking is still an unresolved task. In this paper we explore a, to...
We present a plant image recognition system geared towards plants with flowers. The system uses local invariants with Dense SIFT features and Bag of Visual Words representation, while the classification is done using Support Vector Machines. Our approach contains a pre-classification stage where images are categorized into color subgroups, to reduce the complexity of the problem. Using a 161-class...
This paper deals with digital archiving of cemetery heritage. A built cemetery is a tangible evidence of historical and cultural periods through the style and the shape of tombs. It gives quantitative information on the local population, about its history (by reading birth and death dates), its culture (by analysing name typology) and its temporal evolution (by using the family names written on the...
The image memorability consists in the faculty of an image to be recalled after a period of time. Recently, the memorability of an image database was measured and some factors responsible for this memorability were highlighted. In this paper, we investigate the role of visual attention in image memorability around two axis. The first one is experimental and uses results of eye-tracking performed on...
With the development of Internet and computer technology, the digital videos increase explosively, so how to get the interesting video clips from the massive video dataset quickly and efficiently has become an urgent problem in the field of information retrieval (IR). In this paper, a new Instance-based video search (INS) engine is proposed to solve the urgent problem. Firstly, video key-frames are...
Spatio-Temporal Interest Point (STIP) has been widely used for human action recognition. However, the performance of the STIP based methods are still limited in realistic datasets which often include large variations in illuminations, viewpoints and camera motions. One reason of the low performance is that the STIPs only reflect the local change in videos, which is not enough to obtain stable informative...
Bag-of-visual phrase (BoP) has been proposed and developed for landmark recognition recently. However, existing BoP methods for landmark recognition have two major shortcomings: (i) they try to construct a universal phrase vocabulary for all object categories, which lacks specific descriptive capabilities for a particular category, and (ii) they often adopt simple criterion such as the frequency information...
This paper addresses the aesthetic enhancement of contrasts in saturation and luminance in a landscape photograph to follow the organization of such contrasts in landscape paintings. Different from many existing work on similar topics that mainly emulate the surface characteristics of a painting, this paper presents a technique that transfer the contrast organization in landscape paintings inter and...
This paper proposes an adaptive bag-of-phrases (BoP) algorithm for mobile scene recognition based on bag-of-words approach. Conventional BoW methods do not consider the dependence and pairwise relationship among different codewords. However, these contextual relations between pairwise codewords play an important role for users to recognize an image. In light of this problem, this paper proposes an...
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