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Time-of-Flight (ToF) and other IR-based cameras that register depth are becoming more and more affordable in consumer electronics. This paper aims to improve a realtime hand gesture interaction system by augmenting it with a ToF camera. First, the ToF camera and the RGB camera are calibrated, and a mapping is made from the depth data to the RGB image. Then, a novel hand detection algorithm is introduced...
This paper discusses a methodology for improved image processing for human facial analysis and tries to integrate results from the visible images with the corresponding thermal images. First, an enhanced face detection algorithm in color images is described. The performance of Haar Classifiers is known as a fast real-time face detection algorithm. However, it generates false detection. The suggested...
Face detection use in many applications such as human computer interface, face recognition and face tracking. In this paper we propose a hybrid face detection that could detect faces in color images with different lights and backgrounds. Our method, first detect skin regions with HSV method over an entire image and generate candidates for HAAR classifier to detect face regions. By regionalizing the...
Human hand posture detection and recognition is a challenging problem in computer vision. We introduce an algorithm that is capable to recognize hand posture in a sophisticated background. The system combines two algorithms to achieve better detection rate for hand. Recently Viola et al. in have introduced a rapid object detection scheme; we use this approach to detect the hand posture in the first...
It is a tough task to robust track face in dynamic complex environments with an active camera. A tracking method based on Bayesian probability is proposed to real-time follow-up track moving face in dynamic complex environments. At first frontal face is detected using the Adaboost face detector based on Haar-like features, and is used to initialize the tracking module. Face color feature representation...
Exact and fast driver face detection is a key for recognising whether drivers are fatigue or not by detecting ficial organs while driving using machine vision technology. Aiming at the limitation of driver face detection algorithm based on single feature in detection precision and reliability, a novel fusion algorithm of driver face detection is proposed. Firstly, an improved face detection algorithm...
Speedy and reliable face location is a key for monitoring driver fatigue driving condition using machine vision methods. According to the disadvantage of face location methods based on single feature in accuracy and reliability at present, first, an improved face location method based on Haar-like feature and Adaboost is used to detect the possibly existing face region in the whole image, then the...
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