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On roads, drivers can detect traffic sign extraordinarily fast and accurately; however, the computer vision system does not easily imitate this natural ability although using a lot of image processing techniques. This weakness can be tackled by a bottom-up visual saliency method based on traffic-sign colours which occupy certain ranges of RGB values. These values can be used to modulate the bottom-up...
Motivated by the advantages of using shape matching technique in detecting objects in various postures and viewpoints and the discriminative power of local patterns in object recognition, this paper proposes a human detection method combining both shape and appearance cues. In particular, local shapes of the body parts are detected using template matching. Based on body parts' shapes, local appearance...
This paper is concerned with the image encryption scheme based on image complexity, which can satisfy the need of multi-level quality of service. Firstly, each subband of DWT (Discrete Wavelet Transform) coefficient is analyzed. Then, image is cut into blocks. Variances of DWT coefficients are considered as parameters to evaluate complexity of each block. Finally, as to accomplish a controllable visual...
Face detection is the first step in automated face recognition and the important cue to detect the human face is skin color. This proposed paper consists of two steps, the first step is to detect the more skinned region by the fusion of RGB, YCbCr skin color region and CIEL* a* b skin labeled image using HillClimbing segmentation with K-Means clustering. This step helps to simplify and improves the...
Development of a high accuracy and robust human motion recognition system is the fundamental requirement to apply in the real-life applications. Therefore, the recognition systems are being investigated to improve the system's performance and to enhance with more functionality. As a result of such an investigation, the formerly adopted structured motion database, capable of suitable retrieval of known...
The human iris supports contact less data acquisition and can be imaged covertly. These factors give raise to the possibility of performing biometric recognition procedure with-out subjects' knowledge and in uncontrolled data acquisition scenarios. The feasibility of this type of recognition has been receiving increasing attention, as is of particular interest in visual surveillance, computer forensics,...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
This paper presents a method that combines colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support vector machine. For the colour-based model, we extract a...
Assays of micronucleus are extensively used in genotoxicity testing and in monitoring of human exposure to genotoxic materials. As nuclear buds could be a new source of micronuclei formed in interphase, the assay of contents of nuclear bud in normal and comparison group is needed. In this paper, we proposed a new automatic nuclear buds detection algorithm based on ellipse fitting. Experimental results...
Facial expression is the most natural and instinctive means for human beings to communicate with each other Automatic analysis of human facial expression remains a very challenging area of research in computer vision and machine learning. In this paper, a novel human emotion detection is proposed based on well-known local binary pattern (LBP) and a newly developed feature matrix. Facial feature is...
One common way to reduce power consumption of display devices is to reduce the liquid crystal displays (LCD) backlight intensity since the main light source of LCD consumes 20~50% of the total system power. In this paper, we propose a novel method of reducing LCD backlight power which maximizes the power reduction ratio and minimizes the visual image quality degradation based on the human visual system...
Most commonly used CAPTCHAs are text-based CAPTCHAs which relay on the distortion of texts in the background image. With the development of automated computer vision techniques, which have been designed to remove noise and segment the distorted strings to make characters readable for OCR, traditional text-based CAPTHCAs are not considered safe anymore for authentication. A novel image based CAPTCHA...
An image watermarking scheme using the previously proposed bit embedding method is developed. To achieve a desired subjective visual quality in the watermarked image, the embedding parameter that is related to both the image quality and the embedding capacity is determined by using a perceptual model. First, based on the properties of the bit embedding method, the perceptual model of two kinds of...
Graphical passwords are an authentication method that uses pictures as passwords instead of using alphanumeric characters. We propose a graphical password method which is difficult to steal original pass-image by using characteristics of human vision system. In our method, we combine low frequency components of a decoy picture with high frequency components of a pass-image. It is easy for legitimate...
The main objective of this paper is to develop multiple human object tracking approach based on motion estimation and detection, background subtraction, shadow removal and occlusion detection. A reference frame is initially used and considered as background information. While a new object enters into the frame, the foreground information and background information are identified using the reference...
In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
In this paper, we propose an efficient approach to automatic human object segmentation. First, foreground (human object) model and background model are built based on the face detection result, and are used to obtain the seed pixels for foreground and background, respectively. Then seed pixels are clustered using K-means algorithm, and Gaussian mixture models are exploited to generate the foreground/background...
In this paper we present a divisive hierarchical method for the analysis and segmentation of visual images. The proposed method is based on the use of the k-means method embedded in a recursive algorithm to obtain a clustering at each node of the hierarchy. The recursive algorithm determines automatically at each node a good estimate of the parameter k (the number of clusters in the k-means algorithm)...
This paper details an alternative approach to rendering 3D digital environments using fixation-based disorder fields that maintain high object saliency and provide greater depth perception across the entire visual field The research undertaken compares the visual effect of applying disorder to an animated sequence as a simple 2D image space post-effect process, with a new 3D world space approach....
In this paper, an objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic...
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