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We present PoseShop—a pipeline to construct segmented human image database with minimal manual intervention. By downloading, analyzing, and filtering massive amounts of human images from the Internet, we achieve a database which contains 400 thousands human figures that are segmented out of their background. The human figures are organized based on action semantic, clothes attributes, and...
Video surveillance is an active research topic in computer vision. Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for detecting and observing humans' appearance, movements and activities. In this paper, we present a human identification technique suitable for video surveillance. The technique...
Due to the high degree of freedom found in hand motion, it is difficult to model articulated hand configurations. In addition, observed hand shapes vary according to the hand rotation, even when using the same hand configuration. This paper presents a new manifold embedding method for modeling low dimensional hand configurations and hand rotation using a 4D torus manifold, in which the product of...
Facial rejuvenation has driven a lot of research in the field of dermatology and plastic surgery, leading to many medical procedures. This paper proposes an age prediction method that could be used to better understand the ageing process and to evaluate the benefits of a rejuvenating treatment, for example. A supervised Facial Model (SFM) is built using Partial Least Squares regression (PLSR) to capture...
Gestures represent an important channel of human communication, and they are “co-expressive” with speech. For this reason, in human-machine interaction automatic gesture classification can be a valuable help in a number of tasks, like for example as a disambiguation aid in automatic speech recognition. Based on the hand gesture categorization proposed by D. McNeill in his reference works on gesture...
This paper presents a style transfer algorithm of caricature. Rather than transferring texture from one image to another globally, we introduce an interactive tool for local texture transfer of caricature. As the segmentation algorithm is not very satisfactory for complex case of human face and the caricature, we use a brush by which the user draws some strokes on the source and target images to indicate...
This paper introduces a morphological image segmentation method by applying watershed transform with markers to scale-space smoothed images and furthermore provides images for clinical monitoring and analysis of patients. The database comprises sagittal plane images taken from a digital camera of patients submitted to Global Postural Reeducation (GPR) physiotherapy treatment. Orthopaedic specialists...
The face detection problem has attracted wide attention. Some achievements have been obtained in the past decade. The paper presented a novel algorithm of face detection based on segmentation of human faces in color image. The number of human can be counted and can be used to control the lights in a classroom to be all turned on or not based on proposed method in the paper. First, this paper constructs...
This paper presents results achieved in the frames of a national research project (titled ldquoDIANOEMArdquo), where visual analysis and sign recognition techniques have been explored on Greek Sign Language (GSL) data. Besides GSL modelling, the aim was to develop a pilot application for teleoperating a mobile robot using natural hand signs. A small vocabulary of hand signs has been designed to enable...
The circulation of adult images on the Internet is a social problem that particularly affects teenagers' mental health. Accordingly, an adult image detection method that uses object analysis and multiresizing was proposed in this study to block the careless circulation of adult images. An adult-image-blocking filter was designed and applied to diverse images in adult-image-blocking tests. The effectiveness...
Many video surveillance systems are demanding to monitor moving human behaviors, especially for such environments as jails, warehouses, supermarkets, secret rooms, offices, auditoriums and so on. It has universal significance for image capture of surveillance system to recognize moving human bodies, accordingly, it is an imperative to recognize moving human bodies from other moving objects rather...
Density of moles is a strong predictor of malignant melanoma. Some dermatologists advocate periodic full-body scan for high-risk patients. In current practice, physicians compare images taken at different time instances to recognize changes. There is an important clinical need to follow changes in the number of moles and their appearance (size, color, texture, shape) in images from two different times...
A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in...
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