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In computer graphics field, stroke-based painterly rendering (SBPR) is the program to convert photographs into paintings, such as oil painting, watercolor and sketches. Beyond specific techniques to render real photographs, major challenge is how to understand real photographs as human visual perception and cognition according to artists' painting motivation, which parts should be drawn and how to...
In this study, we discussed human recognition method for the trajectory tracking. Visual perception is very important to realize the feature extraction from the time series of images, but it is very difficult to perform the object tracking. We classified errors occurring in the throwing; errors caused by internal factors and errors caused by external factors. At first, we propose a theoretical method...
In this paper, an approach for object tracking is proposed based on the online color information fusion scheme. The fusion scheme, is performed by projecting multi-channel color images to a one-dimensional pseudo gray scale space. This dimensionality reduction simplifies the designation of the tracking algorithm. The fusing coefficients are determined by taking the Fisher linear discriminant analysis...
The goal of this paper is to present a way to perform visual servoing tasks from color attributes. This approach can be seen as an extension of our previous papers based on the luminance. Indeed, as we did for the luminance, color attributes are directly used in the control law avoiding therefore any complex images processing as features extraction or matching. We propose in this paper several potential...
Pedestrian detection is an important part of intelligent transportation systems (ITS) application. Many researches have been contributed to apply image processing technologies to pedestrian detection. A new robust method for pedestrian tracking is proposed in this paper. Pedestrian tracking is achieved by using feature fusion and prediction methodology. The proposed method integrates spatial position,...
This paper proposes a system to recognize isolated American Sign Language and Arabic numbers in real-time from stereo color image sequences using Hidden Markov Models (HMMs). Our system is based on three main stages; preprocessing, feature extraction and classification. In preprocessing stage, color and 3D depth map are used to detect and track the hand. The second stage, 3D combined features of location,...
Recently video surveillance techniques have been widely applied to intelligent transportation systems. Tracking of moving objects such as vehicles has become a major topic in video surveillance applications. This paper presents a multi-feature fusion model based on a particle filter for moving object tracking. The particle filter combines color and edge orientation information by a stochastic fusion...
A graph cuts method has recently attracted a lot of attention for image segmentation, as it can minimize an energy function composed of data term estimated in feature space and smoothness term estimated in an image domain. Although previous approaches using graph cuts have shown good performance for image segmentation, they manually obtained prior information to estimate the data term, thus automatic...
This paper presents a new image preprocessing and revised feature extraction methods for sign language recognition (SLR) based on Hidden Markov Models (HMMs). Multi-layer Neural Network is used for building an approximate skin model by using Cb and Cr color components of sample pixels. Gesture videos are spitted into image sequences and converted into YCbCr color space. In order to get only hand area...
To detect and observe the location and angle of electrical feeder lines in galloping movies, the observer must recognize the relation of two red balls acting as spacers for pairs of lines. This research proposes and develops a system to detect these balls using color recognition in image processing. Our experiments, show that this system is successful in finding feeder lines and recognizing the angles...
The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation...
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