Face detection is an important aspect for various domains such as: biometrics, video surveillance and human computer interaction. Generally a generic face processing system includes a face detection, or recognition st...
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Face detection is an important aspect for various domains such as: biometrics, video surveillance and human computer interaction. Generally a generic face processing system includes a face detection, or recognition step, as well as tracking and rendering phase. In this paper, we develop a real-time and robust face detection implementation based on GPU component. Face detection is performed by adapting the viola and jones algorithm. We have developed and designed optimized several parallel implementations of these algorithms based on graphics processors GPU using CUDA (Compute Unified Device Architecture) description. First, we implemented the viola and jones algorithm in the basic CPU version. The basic application is widened to GPU version using CUDA technology, and freeing CPU to perform other tasks. Then, the face detection algorithm has been optimized for the GPU using a grid topology and shared memory. These programs are compared and the results are presented. Finally, to improve the quality of face detection a second proposition was performed by the implementation of WaldBoost algorithm. (C) 2015 Elsevier B.V. All rights reserved.
This paper propose a new approch to detect rotated object at distinct angles using the viola-jones detector. Our idea is based on three key points: The first is to propose a method allowing finding possible angles to ...
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ISBN:
(纸本)9781479959792
This paper propose a new approch to detect rotated object at distinct angles using the viola-jones detector. Our idea is based on three key points: The first is to propose a method allowing finding possible angles to rotate a normal Haar-Like feature, without destroy its sides. The tangent of each angle equal to an rational number i.e. each angle equal to arctan(Y/X) where Y and X are integers. The second point is manifested by the use of this rational number to determine the pixels forming the sides of the feature. In the latter, we propose a solution that makes use of this rational number to approximate the Integral image of a rotated feature at a generic angle.
Face detection is a highly efficient component in diverse domains such as security surveillance. Especially, the viola-jonesalgorithm has achieved significant performances in the field of detection face. In the last ...
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ISBN:
(纸本)9781728175133
Face detection is a highly efficient component in diverse domains such as security surveillance. Especially, the viola-jonesalgorithm has achieved significant performances in the field of detection face. In the last years, graphics processors have fast become the mainstay to solve the problem of detection face applications and to accelerate data parallel computing. This is due to their flexibility, and in particular, to the single-instruction, multiple-data execution model exploited for streaming processors by a Graphics Processing Unit (GPU). Therefore, in this paper, the researchers develop a robust face detection implementation based on the GPU component. The implementation has been optimized by following up a strategy to use the different memory resources in GPU and the warp scheduler technique, so as to accelerate the access to the memory, with better exploitation of resources proved by GPU. The results display that the suggested method is very important and consumes less execution time compared with the standard implementation and sequential implementation.
The mobile human-computer interaction is aiming to facilitate communication with the mobile devices. The hand gesture recognition is considered as the most important alternative that can be deployed because it is natu...
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ISBN:
(纸本)9781467387095
The mobile human-computer interaction is aiming to facilitate communication with the mobile devices. The hand gesture recognition is considered as the most important alternative that can be deployed because it is natural, intuitive and easy to use. In this paper, we proposed our system of static hand gesture recognition to control mobile devices based only on a real time video streaming capture from the front-facing camera of the device. Our proposed system is based on the skin colour algorithm and face subtraction to detect hand area. The features derived from contour extraction, convex hull detection, convexity defects extraction and the palm center detection are used on SVM classifier for the recognition step. This system, running on an Android tablet, achieves 96,8% of recognition rate that proves the robustness of our system. We applied the parallelism techniques to ensure the respect of real time constraint and realise a 23 fps.
Gestures are very important for the communication between humans. Nowadays new technologies of Human Computer Interaction (HCI) are being developed to convey commands from user's to computers. Among them, communic...
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ISBN:
(纸本)9789811034336;9789811034329
Gestures are very important for the communication between humans. Nowadays new technologies of Human Computer Interaction (HCI) are being developed to convey commands from user's to computers. Among them, communication though hand gesture is a natural and instinctive way to interact with the computer. Over the years Vision based real time gesture recognition system has witnessed a large growth because of its different beneficial applications, such as sign language to virtual reality and its capability to interact with system efficiently through HCI. In HCI using hand gesture, the main elements are hand gesture recognition and its tracking. At first a brief history of hand gesture recognition is deliberated and the technical challenges during the recognition process also enumerated. The methodologies for hand gesture identification, such as glove-based, vision-based and depth-based, are compared briefly. Bare hand gesture recognition and tracking using CamShift can provide a better Human-Computer Interaction.
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