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Facial expression analysis is essential to enable socially intelligent processing of multimedia video content. Most facial expression recognition algorithms generally analyze the whole image sequence of an expression to exploit its temporal characteristics. However, it is seldom studied whether it is necessary to utilize all the frames of a sequence, since human beings are able to capture the dynamics...
We propose a method for automatic emotion recognition as part of the FERA 2011 competition. The system extracts pyramid of histogram of gradients (PHOG) and local phase quantisation (LPQ) features for encoding the shape and appearance information. For selecting the key frames, K-means clustering is applied to the normalised shape vectors derived from constraint local model (CLM) based face tracking...
Given a video sequence containing face candidates, detecting faces is a challenging problem, which can be attributed to the difficulty in handling the appearance variability of the face. Based on skin color segmentation combined with the saliency model, a novel method is proposed to detect human faces in videos. Firstly, a skin color model in the YCbCr chrominance space is built to segment skin-color...
In this paper, we present a gender estimation technique that will determine whether a person looking at the camera is a male or female. Several facial features extracted from a face are passed to post-image-processing operations before they are sent to a rule-base classifier. We applied our technique to both static passport-like photos as well as several video sequences consisting of a single face...
The active shape model (ASM) has been widely used to recognize and track a face from a video sequence. However, it is usually limited to frontal view or the cases of small-scale head movement, as its accuracy may greatly degrade in conditions of quick movement, large rotation and temporary occlusion. We propose an enhanced ASM and predicted mean shift algorithm to meet these challenges, which combines...
In this paper, a novel scheme to protect biometric templates using LBP-based authentication watermarking is proposed. Firstly, the m-LSB (a generalization of LSB) of biometric templates is set to zeros. Then, the modified biometric templates are partitioned into non-overlapping n X n image blocks. The LBP feature of these image blocks can be obtained, and the authentication watermark bits are generated...
Most recent facial expressions recognition systems only work well with frontal face images. However, subjects do not always face front. With this in mind, we propose in this paper a method for pose-robust facial expressions recognition. Active appearance models (AAMs) are used for face tracking to extract pose-robust facial feature points. However, AAM has accuracy problems with face tracking when...
We present a fully automated three-dimensional model-based, real-time capable approach to distinguish six universal facial expressions from visual images of human faces. The face model is fitted to the images of a publicly available data base. From the model parameters two sets of features are computed, person-specific and non-person-specific to estimate the facial expression visible in the current...
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probability distributions of face region parameters in the current video frame given a sequence of past frames, and automatically re initializes the prediction process at scene changes in the given video sequence. A Bayesian criterion...
Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The paper therefore proposed a fast appearance-model based 3D face tracking algorithm to track a face appearance with significant translation, rotation, and scaling activities by using stochastic meta-descent (SMD) optimization scheme...
Although automatic identity inference based on faces has shown success when using high quality images, for CCTV based images it is hard to attain similar levels of performance. Furthermore, compared to recognition based on static images, relatively few studies have been done for video based face recognition. In this paper, we present an empirical analysis and comparison of face recognition using high...
Due to their use of information contained in texture, active appearance models (AAM) generally outperform active shape models (ASM) in terms of fitting accuracy. Although many extensions and improvements over the original AAM have been proposed, on of the main drawbacks of AAMs remains its dependence on good initial model parameters to achieve accurate fitting results. In this paper, we determine...
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