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Recently, investigating boundary prior to aid other low-level image cues, have gained great attention in salient object detection. Although the salient regions are mostly located in the image center, the inverse might not necessarily be true. In addition, such kind of center-bias assumption is very simple and fragile, especially when salient regions often touch the image boundary or the images are...
In this paper, we propose a compressive sensing based framework for robust visual tracking. As a key part of the tracking framework, a new multi-task sparse learning method is designed to estimate the observation likelihood in order to determine the best target. Compared with the traditional multi-task sparse learning method, our method uses compressed appearance features to achieve multi-task sparse...
With the growth in digital world, it is becoming more important to find a method to protect the security of digital media. An image watermarking model based on progressive visual cryptography is proposed to decide optimal number of shares. A study on implementation of meaningful shares in combination with visual cryptography scheme for secret images is carried out for implementation of algorithm....
The goal of visual tracking is to estimate the location of the visual target in a sequence of images. If the video has long-term sequence of images, the tracking task without prior information is severely difficult due to the occlusion or the disappearance. Recently, tracking-by-detection methods have been proposed to solve the long-term tracking problem. However, most of them also suffer from drifting,...
Object tracking is one of the important tasks for mobile robot, and developing a robust and real-time visual tracking algorithm which can adaptively capture the varying appearance of target under challenging conditions for mobile robot is still an open problem. The main challenges of visual tracking for mobile robot come from variation of target's appearance and disturbance of environment. To cope...
Over the last decade, there has been a gradual increase in the number of people with mobility and speech impairments who require novel communication devices. Most of the recent works focus on the Latin script; there is a lack of appropriate assistive devices for scripts that are specific to a country. In this paper, we propose a novel multimodal Hindi language virtual keyboard based on a menu selection...
We propose a framework for Threat Image Projection (TIP) in cargo transmission X-ray imagery. The method exploits the approximately multiplicative nature of X-ray imagery to extract a library of threat items. These items can then be projected into real cargo. We show using experimental data that there is no significant qualitative or quantitative difference between real threat images and TIP images...
This paper proposes a hybrid robust image watermarking scheme based on three levels of Discrete Stationary Wavelet Transform (DSWT) in the Discrete Cosine Transform (DCT) domain. The host image colors (red, green and blue) are separated, and then the DCT is applied on each color after separation. The DSWT is utilized to divide the DCT output into four sub-bands (3 levels). These sub-bands are (A,...
Invisible Image Watermarking is secret embedding scheme for hiding of secret image into cover image file and the purpose of invisible watermarking is copyrights protection. Image Watermarking have research challenges for increasing robustness against visual attacks and statistical attacks. Wavelet transformation based Image Watermarking techniques provide better robustness for statistical attacks...
In this paper we propose a novel method called s-DVO for dense visual odometry using a probabilistic sensor noise model. In contrast to sparse visual odometry, where camera poses are estimated based on matched visual features, we apply dense visual odometry which makes full use of all pixel information from an RGB-D camera. Previously, t-distribution was used to model photometric and geometric errors...
Las historias clínicas electrónicas contienen información importante de un paciente, que puede servir de insumo para realizar análisis retrospectivo en el diagnóstico, seguimiento y tratamiento de una enfermedad. Esta información es registrada de forma narrativa con lo que surge la limitación para identificar eventos médicos (tales como citas médicas, prescripción de medicamentos, tratamientos, procedimientos...
In this paper, we propose a novel marker design and its tracking algorithm for room-sized MR/AR environments. The markers and the algorithm are designed to solve the following practical problems: i) the difficulties in creating and arranging markers and ii) the trade-off between inconspicuousness and robustness of markers. The proposed markers are small chips that are cut off a large paper sheet,...
Digital domain is today's most preferred area for data processing and transmission. In case of data augmentation or authorized replication, copyright protection has become an exigent challenge. Digital watermarking is a conventional procedure to serve this purpose. Here a spatial domain image watermarking scheme is developed through a pixel based saliency map where the inadequate nature of human visual...
Video copy detection is still an open problem as current approaches are not able to carry out the detection with enough efficacy and efficiency. These are desirable features in modern video-based applications requiring real-time processing in large scale video databases and without compromising detection performance, especially when facing non-simulated video attacks. These characteristics are also...
Recently, graph ranking-based methods have been introduced to visual tracking and achieved promising results due to the local structure preserving property. However, existing graph ranking-based trackers use holistic templates to construct the graphs which makes the trackers sensitive to occlusions. In this paper, we propose a part-based multi-graph ranking algorithm for robust visual tracking. In...
Multiple Instance Learning (MIL) recently provides an appealing way to alleviate the drifting problem in visual tracking. Following the tracking-by-detection framework, an online MILBoost approach is developed that sequentially chooses weak classifiers by maximizing the bag likelihood. In this paper, we extend this idea towards incorporating the instance significance estimation into the online MILBoost...
Correlation filters have been extensively studied to address online visual object tracking task, while achieving favourable performance against the-state-of-the-art methods in various benchmark datasets. Nevertheless, undesired conditions, i.e. partial occlusions or abrupt deformations of the object appearance, severely degrade the performance of correlation filter based tracking methods. To this...
Similarity measuring plays as an import role in stereo matching, whether for visual data from standard cameras or for those from novel sensors such as Dynamic Vision Sensors (DVS). Generally speaking, robust feature descriptors contribute to designing a powerful similarity measurement, as demonstrated by classic stereo matching methods. However, the kind and representative ability of feature descriptors...
Developing an effective and efficient appearance model for robust visual tracking is difficult because of various interfering factors, such as postural change, occlusion, and rapid motion. More and more visual tracking methods tend to exploit local sparse appearance model to deal with the above problems. Since in the local sparse appearance model, all individual patch together to form a complete target...
This paper presents a study on hand gesture distinguish ability between Speeded Up Robust Features(SURF) and Scale Invariant Feature Transform(SIFT) feature descriptors of hand images. Then bag of visual words are to map these descriptors to a dimension vector and support vector machine(SVM) classifer is trained to recognize hand gesture. Experimental results demonstrate that SURF feature descriptors...
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