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Through the development of pattern recognition methods, many researchers have proposed various systems to control a TV that can be activated automatically without devices. In this paper, we propose a control owner switching system of TV via multi-user face recognition and head gesture recognition. We mainly focus on rotation invariant and wide-range (up to four meters) multi-user face recognition...
Detecting and tracking humans are key problems for human-robot interaction. In this paper we present an algorithm for mobile robots to detect and track people reliably, even when humans go through different illumination conditions, often change in a wide variety of poses, and are frequently occluded. We have improved the performance of face and upper body detection to quickly find people in each frame...
In this article we address the issue of adopting a local sparse coding representation (Histogram of Sparse Codes), in a part-based framework for inferring the locations of facial landmarks. The rationale behind this approach is that unsupervised learning of sparse code dictionaries from face data can be an effective approach to cope with such a challenging problem. Results obtained on the CMU Multi-PIE...
In this paper, an eye detection method is proposed based on the features of eye images generated in the gaze tracking environment. By configuring the corneal specular reflection detector, pupil detector, and eyelid detector in a cascade format, in actual applications reliable eye detection can be achieved even when an image of only one eye is captured because a part of the user moves out of camera...
Abstract-With the fast advance of mobile chips technologies, a node in a smart camera network can afford sophisticated processing via on-board multicore CPUs and GPUs, e.g., face detection. The performance of a general purpose face detector, however, may degrade seriously under specific situations with unexpected challenges such as facial coverage or bad illumination. This degradation is due to the...
This paper mainly studies facial expression recognition with the components by face parsing (FP). Considering the disadvantage that different parts of face contain different amount of information for facial expression and the weighted function are not the same for different faces, an idea is proposed to recognize facial expression using components which are active in expression disclosure. The face...
In this paper we present the preliminary results of our research on face detection which show that it is possible to significantly improve the performance of a single strong classifier (in terms of high detection rate and reduced number of false positives) by adapting the detection threshold to each input image instead of using the fixed thresholds learned in the training step. Moreover, if this adaptive...
This paper presents a method that combines the background subtraction with the Viola-Jones face detector to detect human faces from video sequence captured by a fixed camera. We use a texture based method for background subtraction to extract foreground sub-images for the face detector. It allows the detector to focus on face detection on smaller image regions and thereby reduces its computational...
In many practical situations, a desirable user interface to a computer system should have a model of where a person is looking at and what user is paying attention to. This is particularly important if a system is providing multi modal communication cues, speech, gesture and the system must identify, whether the cues are aimed at it, or at someone else in the room. In this paper, we describes a system...
The MEG experiment searches for new physics like SUSY-GUT/SUSY-seesaw through lepton flavor violating μ+ → e+γ decay. In order to improve the experimental sensitivity, the detector upgrade project (MEG II) is underway. The 900 liter of liquid xenon (LXe) detector with 846 2 PMTs measures energy, timing, and position of 52.8MeV gamma-ray. The finite size of the PMT produces non-uniform response against...
Skin detection is one the most studied subjects in vision literature. Due to the appealing features of skin segmentation algorithms, they are widely used in different biometric applications such as face detection, face recognition, face tracking, hand gesture recognition, etc. However, several challenges such as nonlinear illumination, equipment effects, personal interferences, ethnicity variations,...
In this paper, a simple and fast algorithm was proposed to detect face. Firstly, some interest points marking skin regions were searched by only using simple chrominance Cr information instead of simultaneously using chrominance Cr and Cb. And then, a conventional and popular AdaBoost algorithm was employed to make a decision whether around the detected interest points was there face and then located...
Many feature-based object detectors have shown that the use of gradient image information can be a very efficient way to describe the appearance of objects. Especially, the gradient sizes, directions and histograms are commonly used. In this area, the histogram of oriented gradients (HOG) is considered as the state-of-the-art method. The histograms and gradient orientations are used to encode the...
Many intelligent systems are required to deal with the situation of human-computer interaction. As one of the most important front ends, gender classification plays an irreplaceable role. For practical use, a real-time robust gender classification system is presented in this paper. The system consists of three principal modules: image preprocessing, face detector and gender classifier. To enhance...
Smile detection received a enormous attention due to its famous application as a ‘smile shutter’ in digital cameras. Edge Orientation Histograms (EOH) is one of the possible feature descriptors in a smile detector. This paper presents an evaluation of the use of Edge Orientation Histograms in a lip image based smile detector. The system built in this paper aims to discriminate lip images depicting...
Face detection has drawn much attention in recent decades since the seminal work by Viola and Jones. While many subsequences have improved the work with more powerful learning algorithms, the feature representation used for face detection still can't meet the demand for effectively and efficiently handling faces with large appearance variance in the wild. To solve this bottleneck, we borrow the concept...
In this paper, a new unified framework of the face tracking is presented. It is based on a new tracking-by-detection tracker. Three different face detectors are utilized in the tracker. By exploiting the spatio-temporal constraint between the intra and inter frames, a Bayesian formulation is proposed to merge different detections from the three detectors and link the faces into tracks. In addition,...
Although eye detection has been studied for a long time in academic and industrial communities, it is still a changeling problem if facial images are with varying head poses, facial expressions, illuminations and resolution changes etc., which tend to happen in uncontrolled conditions. In this work, we propose to learn deep features that could capture the appearance variations of eyes for eye detection...
Previous research on facial expression recognition mainly focuses on near frontal face images, while in realistic interactive scenarios, the interested subjects may appear in arbitrary non-frontal poses. In this paper, we propose a framework to recognize six prototypical facial expressions, namely, anger, disgust, fear, joy, sadness and surprise, in an arbitrary head pose. We build a multi-pose training...
Part-based models have become the mainstream approach for visual object classification and detection. The key tools adopted by the most methods are interest point detectors and descriptors, shared codes for object parts (visual codebook) and discriminative learning using positive and negative class examples. Distinction of our method from the existing part-based methods for object detection is the...
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