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This paper addresses a novel head posture detection algorithm to recognize human-computer interactions. A pattern training based image segmentation algorithm is used to detect the skin and hair of students. A simple and efficient human presence detection and gaze direction estimation method is then proposed based on the segmentation results. Finally, the proposed algorithm is tested on ten different...
Seeded segmentation methods attempt to solve the segmentation problem in the presence of prior knowledge in the form of a partial segmentation, where a small subset of the image elements (seed-points) have been assigned correct segmentation labels. Common for most of the leading methods in this area is that they seek to find a segmentation where the boundaries of the segmented regions coincide with...
This paper deals with automatically segmenting a person from challenging videos using a pose detector. A state of the art pose detector is used to detect the pose of a person from a frame in the video sequence. The pose is used to extract color and optical flow features to train a conditional random field to provide segmentation on multiple frames. Location from the pose is used to refine the results...
In this paper we propose a color-based approach for skin detection and interest garment selection aimed at an automatic segmentation of pieces of clothing. For both purposes, the color description is extracted by an iterative energy minimization approach and an automatic initialization strategy is proposed by learning geometric constraints and shape cues. Experiments confirms the good performance...
We propose an image sharpening method that automatically optimizes the perceived sharpness of an image. Image sharpness is defined in terms of the one-dimensional contrast across region boundaries. Regions are automatically extracted for all natural scales present that are themselves identified automatically. Human judgments are collected and used to learn a function that determines the best sharpening...
One goal of projector-camera system is let human finger be used like a mouse to click and drag objects in the projected content. It requires segmentation of the human palm and fingers in the image data captured by the camera, which is a challenging task in the presence of the incessant variation of the projected video content and the shadow cast by the palm and fingers. We describe a coarse-to-fine...
Road segmentation is a critical application of satellite and aerial remote sensing. Traditional attempts to apply machine learning and computer vision have yielded good results but rely on specific characteristics, such as the contrast of paved roads to their surroundings or contextual clues. However, these methods still lack the sensitivity of human perception when identifying rural, non-paved, or...
A system is presented for extracting key metrics from fonts used in historical documents. The system identifies important landmarks on a page, such as margins, paragraphs, and lines, and applies frequency analysis techniques to identify relevant sizes. The system was validated by comparing its measurements to the measurements of a human expert on randomly selected samples, and differed on average...
This paper presents preliminary findings using thermal infrared imaging for the detection of the human face vasculature network at the skin surface and the generation of thermal facial signatures. A thermal infrared camera with reasonable sensitivity provides the ability to image superficial blood vessels on the human skin. The experiment presented here consists of the image processing techniques...
We propose a new method by incorporating improved k-means and modified fuzzy c-means clustering techniques for segmenting medical images. Segmentation of medical images plays a key role in estimating the object boundary and abnormalities, if any. Moreover, it is an important process to extract more information from complex medical images. Magnetic resonance images may contain noise due to the operator...
In this paper, we propose to segment the human face using marker based watershed segmentation, an improved version of watershed segmentation. This algorithm uses the concept of markers as a pre requisite to determine the segments. The proposed method extracts facial features, most importantly the eyes and the lips. The successful feature extraction of the human face can contribute in a significant...
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines of objects, in order to keep the interface as simple as possible and to respect browser constraints. However, as most browsers now contain functionality to quickly process images and render shapes to the browser through JavaScript,...
Moving object segmentation is highly beneficial to human identification and behavior analysis in intelligent video surveillance. The widely-used background subtraction works not well in dynamic scenes. In this paper, the problem is addressed by first localizing the object by tracking and then segmenting it locally via Graph cuts. We also propose a robust tracker combining the merits of two existing...
Real-time hand and face localization is a challenging problem in many application scenarios such as face and gesture recognition in computer vision and robotics. This paper proposes a robust method which can locate multiple faces and hands simultaneously under the changing environment of light illumination and complex background in real time by using skin-color detection and K-means in conjunction...
The paper proposes a novel method for human face extraction from color images, characterized by uncontrolled illumination conditions and complex backgrounds. The method incorporates stationary Haar wavelet transform & proximity influence for prominent boundaries detection and watershed transform, proximity influence & morphological operations to separate foreground / background along with...
Plastics are used in a truly vast number of applications, and research is continously carried out to improve every aspect of the plastics industry. A recent study of laser transmission welding [1] required cross-sectional images of the weld's microstructure to be analyzed for the presence of pores, which are tiny bubbles that may form during the weld process. It is believed that the number and size...
A new algorithm for palm segmentation for personalidentification to process real time hand-palm images ispresented in this paper. The suggested approach is based oncharacteristics of human hand palms in an image after certainprocessing for the quick identification. The segmentation stepfollows the hand palm real time extraction from sequencedimages or videos. The achieved results will give a rigidpresentation...
This paper presents a novel method for natural image understanding. We improved the effect of saliency detection for the purpose of image segmentation at first. Then Graph cuts are used to find global optimal segmentation of N-dimensional image. After that, we adopt the scheme of supervised learning to classify the scene type of the image. The main advantages of our method are that: Firstly we revised...
We introduce a novel region-of-interest (ROI) database for natural image content, the ROI-D database. The database consists of ROI maps created from manual selections obtained in a psychophysical experiment with 20 participants. The presented stimuli were 42 photographic images taken from 3 publicly available image quality databases. In addition to the ROI selections, dominance ratings were recorded...
Film post-production nowadays can be, and most often is, done in the digital domain using computers. There are plenty of tools available for 3D CGI effects, 2D image manipulation of individual frames, color correction and grading, audio-visual synchronization and video editing. Every task, however, still requires a considerable amount of human interaction. In this paper, we will provide an overview...
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