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Robust image hashing techniques have been extensively studied in the recent years, with constant improvements. The challenge is that the hashing schemes need to be robust to most content-preservation operations (CPOs) and at the same time have reliable discriminative capability. One of the most important application of such image hashing techniques is image authentication. Most of the existing image...
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...
Over a decade of continual expansion in networking and cloud computing has naturally created an increased demand for cybersecurity solutions. Due to the large number of communication devices and content, it is ideal that these cybersecurity solutions are automated. Unfortunately, malicious content and/or activity is often designed to “look” normal and new malicious attacks are repeatedly being developed...
Image co-segmentation is the problem of extracting the common objects from multiple images. Foreground segmentation is always effected by the diverse objects and complex background. However, the existing methods didn't pay much attention to images' background as object, especially the similar background. To address the similar scene co-segmentation problems, a method which considers the foreground...
In order to reduce the false matching rate and matching time, an improved algorithm based on RANSAC-SIFT was proposed. The feature points were extracted by SIFT algorithm firstly. Then most of the mismatching points were eliminated according to the constraints that matching distances tend to be consistent. Finally the remaining points were regarded as pre matching points for achieve fine matching...
The lack of robustness to blur (especially motion blur) is one of the biggest problem in the existing local feature schemes. In this paper, we present a novel Local feature scheme to solve this problem. Our proposed method is good at image matching between (motion and Gaussian) blurred images and non-blurred images. Experimental results show that the proposed method outperforms state of the art methods...
With the increased use of smart devices, digital cameras and abundance of memory in the devices, the pictures of the same scenes have been taken several times, resulting in a number of images consisting of the same or very similar content in memory. Manually selecting the good ones is time-consuming as well as error prone. In this paper, the features of the images in the data sets were extracted and...
Nowadays image manipulation plays an important role due to the powerful photo editing software such as Picasa, Photoshop so that it looks like as original. Such tampering with the original digital image is called as image forgery. The detection of image forgery in an image is important so it can be used as legal evidence in investigations such as court and other fields. Many Images are used as genuine...
Images are major resource for information owing to their wide use and availability in the internet. Ensuring trustworthiness for image content is a primary objective of image forensic discovery. Copy-move is one of the main and frequently used tampering practices for reproducing or concealing precise area of an image. Most of existing methods deploy block matching technique to match and locate the...
Automatically identifying plants from images is a hot research topic due to its importance in production and science popularization. This process attempts to automatically identify the name of a plant with a known taxon from a given image. The majority of existing studies on automatic plant identification focus on identifying plants with a single organ, such as flower, leaf, or fruits. Plant identification...
The present paper describes a low-cost algorithm for video stabilization. Like other feature based algorithms, it is robust to motion blur, noise and illumination changes. Moreover, maintaining real time processing, it is not negatively affected by moving objects in the scene, works fine even in conditions of low details in the background and it is robust to scene changes.
Copy-move is a common type of digital image forgery. In an image, Copy-Move tampering might be done to hide an undesirable region or to duplicate something in the image. These images might be used for the necessary purpose like evidence in the court of law. So, authenticity verification plays a vital role for digital images. In this paper, we compare the CMFD (Copy-Move Forgery Detection) using Image...
Performance of image mosaicing depends on overlap between the images to be joined and the percentage of noise present. An algorithm is used for joining images based on image matching by comparing the descriptors for different images. This paper is concerned with the analysis of effect of variations in noise and degree of relative overlap on the algorithm and obtaining their limits. Speeded Up Robust...
The sensitivities of features extracted from minutia triplets, in fingerprint indexing studies, against distortions on impression images have been compared. It has been shown that the geometric features of triangles can be made robust against elastic distortions and features used in other studies called minutia type, ridge counts and ridge pattern representation decrease indexing performance.
Bio-medical research extends towards human voice and auditory systems day by day. Similarly it helps for the security issues. Emotion analysis and recognition for such purpose is a challenging task. To analyze and recognize, the emotions has been attempted in this piece of work. Initially, Sub-band spectral features have been extracted to characterize high arousal angry, happy, fear, surprise and...
Unmanned Aerial Vehicles (UAVs) is a kind of aircraft performing certain intelligence without pilot. To fulfill complex and practical tasks, accurate state estimation is an essential subject of UAVs. However, UAV is easy to be lost and hardly to be localized again in the unknown environments due to low features and strong flexibility in the previous SLAM system. In this paper, a rectification strategy...
In this paper, we present an improved version of MOBIL descriptor [1] (Improved MOments based BInary differences for Local description), which introduces two main contributions. The first one is the use of geometric information for the binary test instead of the classical intensity binary test, to get more precision in the description step. The second one is to attribute two bits for each test, to...
Definition and extraction of local features play a very important role in image retrieval (IR), pattern recognition and computer vision. Fast growth of technology today calls for local features to be as compact as possible toward real-time and limited bandwidth applications. In this paper, we study the problem of representing images in a compact way to achieve low bit-rate transmission while maintaining...
This paper proposes a frontal gait recognition system using a single camera, which is robust to changes in clothing and carrying condition. User silhouettes are derived from 2D plus depth (2.5D) sequences, using background subtraction. Silhouettes are integrated into a 3D point cloud, corresponding to a marching in place (MIP) representation of the sequence of observed silhouettes. Features are then...
Video has difficulty to maintain consistent intensity and color tone from frame to frame. Particularly, it happens when imaging device such as black box camera has to deal with fast changing illumination environment. However, conventional automatic white balance algorithms cannot handle this good enough to maintain tone consistency, which is observed in most commercial black box products. In this...
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