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Pedestrian detection is an important part of intelligent transportation systems. In the literature, Histogram of Oriented Gradients (HOG) detector for pedestrian detection is known for its good performance, but there are still some false detections appearing in the cases with flat area or clustered background. To deal with these problems, in this research work we develop a new feature which is based...
A new retrieval technique of salient image features is proposed in this research and this technique firstly detects the feature points by using Harris corner detector to find out the feature region of image. And then compute the mean of color, variance, the number of occurrence of color and color aggregation and any eigenvector in accordance with the chrominance and lightness of feature region to...
In recent years, a large amount of research efforts have been spent in the tracking human targets using one or more visual sensors (cameras) in both indoor and outdoor security and surveillance environments such as airports, metro stations, etc. However, in majority, the problem of associating a reliable identification signature to a detected target when in motion, has often been complicated due to...
Pedestrian detection is a major difficulty in the field of object detection. In order to achieve a balance between speed and accuracy, we propose a new framework in pedestrian detection based on HOG-PCA and Gentle AdaBoost. Firstly, each block-based feature of the image is encoded using the histograms of oriented gradients (HOG), then Principal Components Analysis (PCA) is used to reduce the dimensions...
A story is defined as "an actor(s) taking action(s) that culminates in a resolution(s)." In this paper, we investigate the utility of standard keyword based features, statistical features based on shallow-parsing (such as density of POS tags and named entities), and a new set of semantic features to develop a story classifier. This classifier is trained to identify a paragraph as a "story,"...
Text Summarization is the process of identifying and extracting the most vital information in a document. It has been seen as an effective method for dealing with increasing amount of information on the Internet nowadays. In this paper, we present an application of Genetic Programming to the problem of Automatic Text Summarization. Genetic Programming was used to evolve the function that ranks the...
This paper presents a novel approach called PEPA (Perceptual Edges Preservation Algorithm) which enables computing machines to mimic the human vision capability in perceiving meaningful objects in an input scene, characterized in that the preserved edges are conformal to human vision perception. The approach mainly comprises three stages: (1) applying linear and nonlinear filtering to mimic the capability...
Human gait is the main activity of daily life. Gait can be used for applications like human identification (in medical field etc). Since gait can be perceived from a distance it can be used for human identification. Gait recognition means identifying the person with his/her gait. Human identification using gait can be used in surveillance. A method is proposed for gait recognition using a technique...
This paper presents an approach for evaluating domain specific linguistic ontology. The approach used a set of questions pertaining to the internal structure of the ontology and employed to evaluate the SemQ linguistic ontology, an ontology for representing semantic oppositions in the Holy Quran. We believe following such an approach for evaluating linguistic ontologies will create a custom-specific...
This paper describes the analyses of the prosody of Vietnamese emotional speech, accomplished to find the relations between prosodic variations and emotional states in Vietnamese speech. These relations were obtained by investigating the variations of prosodic features in Vietnamese emotional speech in comparison with prosodic features of neutral speech. The analyses were performed on a multi-style...
Humans are poorly equipped to perform repetitive tasks without adversely affecting the efficiency with which they are performing the task. Assets within a secure environment are usually protected with various controls that are enforced by users who follow operational controls associated to those assets. The current approach to security monitoring by means of video cameras are performed by a person...
Human detection is one of the hard problems in object detection field. There are many challenges like variation in human pose, different clothes, non-uniform illumination, cluttered background and occlusion which make this problem much harder than other object detection problems. Defining good features, which can be robust to this wide range of variations, is still an open issue in this field. To...
Video surveillance is an active research topic in computer vision. Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for detecting and observing humans' appearance, movements and activities. In this paper, we present a human identification technique suitable for video surveillance. The technique...
Image co-occurrence has shown great powers on object classification because it captures the characteristic of individual features and spatial relationship between them simultaneously. For example, Co-occurrence Histogram of Oriented Gradients (CoHOG) has achieved great success on human detection task. However, the gradient orientation in CoHOG is sensitive to noise. In addition, CoHOG does not take...
Kinect, as a 3D digital capturing device, can collect the RGB and depth information of human activities rapidly. We study fusing the depth and RGB information for activity recognition. We introduce histogram color-based image thresholding to detect skin on human body, and use a GMM model to segment human hand areas. We design a new local descriptor, called a 3D Motion Scale-Invariant Feature Transform...
In intelligent buildings, practical sensing systems designed to gather indoor occupancy information play an indispensable role in improving occupant comfort and energy efficiency by optimizing control strategies of HVAC (Heating, Ventilation and Air Conditioning) system and lighting system. In this paper we propose a novel method for occupant detection based on video surveillances now widely used...
Salient region-based image retrieval is one of the hotspots in the domain of content-based image retrieval; however the metrics about region saliency is not in the uniform frame. The research on visual attention has shown that the factors including color, texture, scale and position influence on visual perception mostly. Consequently, the algorithm of salient region extraction is proposed by using...
In this paper, a simple method to extract regions of interest (ROI) from images is proposed. In the field of image processing, intensity, color and orientation are commonly used features for saliency map generation in most visual attention model. However, texture feature can contribute to the guidance of attention in a bottom-up model. We consider texture contrast as a component of final saliency...
In this paper, we propose a novel human detection approach combining wavelet-based center symmetric LBP (WCS-LBP) with a cascade of random forests. To detect human regions, we first extract three types of WCS-LBP features from a scanning window of wavelet transformed sub-images to reduce the feature dimension. Then, the extracted WCS-LBP descriptors are applied to a cascade of random forests, which...
In this paper we propose an approach to recognize human actions using depth images. Here, we capture the motion dynamics of the object from the depth difference image and average depth image. The features from the space-time depth difference images are obtained from hierarchical division of the silhouette bounding box. We also make use of motion history images to represent the temporal information...
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