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Vehicle detection is the core function in any Driver Assistant System. Besides the challenge in various environmental conditions, the limitation in execution time and computing power is also critical. This paper proposes a shadow detection step that aims at recognizing the shadow part of the train in various environments (including very tough cases) to accelerate the detection process. We propose...
Detecting deception in interpersonal dialog is challenging since deceivers take advantage of the give-and-take of interaction to adapt to any sign of skepticism in an interlocutor’s verbal and nonverbal feedback. Human detection accuracy is poor, often with no better than chance performance. In this investigation, we consider whether automated methods can produce better results and if emphasizing...
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...
Changes in eyebrow configuration, in combination with head gestures and other facial expressions, are used to signal essential grammatical information in signed languages. Motivated by the goal of improving the detection of non-manual grammatical markings in American Sign Language (ASL), we introduce a 2-level CRF method for recognition of the components of eyebrow and periodic head gestures, differentiating...
Template matching and machine learning are the common methods in character recognition. Generalized regression neural network(GRNN) belongs to machine learning, which has the advantages of simple design, fast convergence speed, requiring less training samples, with global approximation and the best approximation property, robustness and strong nonlinear processing ability than traditional classifiers...
The eyes are the most important facial landmarks on human face, for both human computer communication and face normalization. It is crucial to detect and locate the eyes accurately. This paper introduces a novel and simple method for eye localization. Based on the special gray lever distribution in the eye region, the spectral residual model is exploited to extract the rough eye region primarily....
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