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The communication barrier of deaf and dumb community with the society still remains a matter of concern due to lack of perfect sign language translators. Usage of mobile phones for communication remains a dream for deaf and dumb community. We propose an android application that converts sign language to natural language and enable deaf and dumb community to talk over mobile phones. Developing Sign...
In this digital information explosion era, more and more products are proposed to enhance the quality and convenience of our life. However, vision-based hand gesture recognition is still a challenging problem to overcome. In this paper, an architecture system was proposed with dual-camera to construct the depth map and recognize dynamic hand gesture. It contains one static and two dynamic hand gestures...
Skin-based biometrics rely on the distinctiveness of skin patterns across individuals for identification. In this paper, we investigate whether small image patches of the skin can be localized on a user's body, determining not “who?” instead “where?” Applying techniques from biometrics and computer vision, we introduce a hierarchical classifier that estimates a location from the image texture and...
Wearable cameras used to record daily life are attracting researchers' attention, and a large number of ego-related applications have been developed in recent years. Hand detection is one of the key steps for the tasks like gesture recognition, action recognition and understanding hand-based interaction in egocentric videos, since humans are accustomed to interacting with objects using their hands...
Recently, Many IT products applying the gesture recognition are developed. To recognize the hand gesture, We need technology that detect fingertip. When we detect the hand using the depth of Stereo Camera in the previous method, It couldn`t separate the hand and the wrist. In this paper, we can detect separately hand, wrist and fingertip using the depth of Stereo Camera. Hand was detected by AND operation...
Of increasing interest to the computer vision community is to recognize egocentric actions. Conceptually, an egocentric action is largely identifiable by the states of hands and objects. For example, “drinking soda” is essentially composed of two sequential states where one first “takes up the soda can”, then “drinks from the soda can”. While existing algorithms commonly use manually defined states...
In this paper, we propose a novel kernel function for recognizing objects in RGB-D egocentric videos. In order to effectively exploit the varied object appearance in a video, we take a set-based recognition approach and represent the target object using the set of frames contained in the video. Our kernel function measures the similarity of two sets by the minimum distance between the sparse affine...
Eye Blink Pattern can be used for the identification of various human behaviors. This paper proposes a method for lie detection and detecting the truth of an alibi through image processing techniques. The lie detection mechanism is based upon the experimentally proven hypothesis derived from eye blink literature that liars experience more cognitive demand than truth tellers. Thus, their lies are associated...
In this study we propose the system for searching scenes from the video recorded by the wearable camera when people leave their valuable objects. Our proposed system analyses the movement of the hands by using various parameters in order to identify the actions that the patient hides the object and extracts scenes when the patient hides the object. By using this system the dementia patient and the...
In this work we design an adaptive color constancy algorithm that, exploiting the skin regions found in faces, is able to estimate and correct the scene illumination. The algorithm automatically switches from global to spatially varying color correction on the basis of the illuminant estimations on the different faces detected in the image. An extensive comparison with both global and local color...
Venipuncture is now a common medical means. Several devices have been developed to aid the paramedics or physicians in locating the vein. There are two problems existing in vein display devices: (1) The vein cannot be shown directly on the skin; (2) The method of displaying the vein on the skin is complex. An approach based on the camera-projector system is proposed to help the paramedics or physicians...
Kinect, as a 3D digital capturing device, can collect the RGB and depth information of human activities rapidly. We study fusing the depth and RGB information for activity recognition. We introduce histogram color-based image thresholding to detect skin on human body, and use a GMM model to segment human hand areas. We design a new local descriptor, called a 3D Motion Scale-Invariant Feature Transform...
In this work, we investigate how illuminant estimation can be performed exploiting the color statistics extracted from the faces automatically detected in the image. The proposed method is based on two observations: first, skin colors tend to form a cluster in the color space, making it a cue to estimate the illuminant in the scene; second, many photographic images are portraits or contain people...
In this paper, we present a novel approach to retrieve the person images that contain the identical clothing to a query image from the image set captured by multiple CCTV cameras. In order to measure the similarity of the clothing, we analyze the color information of the clothing area in the image. To find the clothing area, we detect the face area first. The clothing area is found based on the position...
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