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Text detection in natural scenes holds great importance in the field of research and still remains a challenge because of size, various fonts, line orientation, different illumination conditions, weak character and complex background in image. The contribution of the proposed method is filtering out complex backgrounds by utilizing two masks filtering based on text confidence map in the first step...
Lying is among the most common wrong human acts that merits spending time thinking about it. The lie detection is until now posing a problem in recent research which aims to develop a non-contact application in order to estimate physiological changes. In this paper, we have proposed a preliminary investigation on which relevant acoustic parameter can be useful to classify lie or truth from speech...
Palmprint identification is a popular biometric technology used for personal characterization. Traditional palmprint recognition methods are mostly based on acquisition devices with contact, and this, may affect their user friendliness. In this paper, a toucheless palmprint identification method based on Scale Invariant Feature Transform (SIFT) descriptors and sparse representation method is proposed,...
The proposed system comes in the context of intelligent parking lots management and presents an approach for vacant parking spots detection and localization. Our system provides a camera-based solution, which can deal with outdoor parking lots. It returns the real time states of the parking lots providing the number of available vacant places and its specific positions in order to guide the drivers...
In this paper, query sound-by-example video retrieval framework based on audio concepts is presented. First, audio stream extracted from movies in the database is set into orientation clusters using an unsupervised segmentation technique. Audio signals admit a new proposed particular pretreatment process to distinguish audio concepts. This is used for indexing the video data. Second, the query asked...
Face Recognition is among the most widely studied problems in computer vision and Pattern Recognition. Face has many advantages like permanence, accessibility and universality. It is still now not solved in literature. Several approaches are proposed to overcome with problems including; changing posed, emotional states, and illumination variation, etc. Geometric approaches which used as example distance...
We present in this paper a framework for audio concept identification based on audio stream analysis and binary classifiers encapsulation. The system consists of three stages. The first stage is called the pre-processing level audio, where audio stream is segmented and silence segments are detected. In the second stage, speech, music and environmental sounds are automatically divided and further classified...
The paper proposes a novel semi-automatic soft collaborative annotation scheme for video semantic indexing. To annotate video data effectively and accurately, a video collaborative soft annotation within users' judgment modeling is first proposed in this paper. We, then, introduce a semiautomatic annotation strategy which combines the active learning and self-training in order to reduce the annotators'...
We present two new classifiers for two-class classification problems using a new Beta-SVM kernel transformation and an iterative algorithm to concurrently select the support vectors for a support vector machine (SVM) and the hidden units for a single hidden layer neural network to achieve a better generalization performance. To construct the classifiers, the contributing data points are chosen on...
In this paper, we propose a strategy of multi-SVM incremental learning system based on Learn++ classifier for detection of predefined events in the video. This strategy is offline and fast in the sense that any new class of event can be learned by the system from very few examples. The extraction and synthesis of suitably video events are used for this purpose. The results showed that the performance...
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