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Facial expression recognition, due to its wide research areas become active research topic. This paper presents comparative analysis of automatic Facial Expression Recognition by compensating effect of age on the recognition process by Weighted Least Square filtering. System uses Gabor filter and Log Gabor filter to extract facial features. The SVM classifier is first trained using known input images...
Visual objects decoding with functional magnetic resonance imaging (fMRI) often merely depends on the brain activity, using pattern classification to decode information about visual stimuli from patterns of activity. However, the spatial resolution of fMRI is still limited to the > mm range. Limited by its spatial resolution, fMRI voxels lack high-spatial-frequency information of visual stimuli...
This paper proposes a novel on-road vehicle detection algorithm for Advanced Driver Assistance Systems. The proposed algorithm uses shadow and edge information of original image to generate the candidate vehicles. The proposed algorithm extracts the shadow region darker than the road, and creates an edge image using the Canny edge detector. It performs AND operation between the shadow image and the...
The work presents an effective approach for subpixel motion estimation for Super-resolution (SR). The objective is to improve the quality of the estimated SR image by increasing the accuracy of the motion vectors used in the SR procedure. The correction of the motion vectors is based on appearance of error artifacts in the SR image, introduced due to registration errors. First, SR is performed using...
This paper affords a method for the automatic multi-agent event recognition (M-AER) of snatch theft event. M-AER is known to be difficult since parameters such as motion, background, appearance, illumination etc. are constantly changing. In this work, motion vector flow (MVF) and directional motion histogram (DMH) that capture the interaction between two persons in a video sequence are being proposed...
Rate control plays an important role in H.264/AVC video coding standard. For the frame layer rate control, since the estimated values of quantization parameter (QP) of the initial frame vary from the image complexity, this paper firstly proposes an improved method for the initial QP estimation to make it more accurate. For the macro block (MB) layer rate control, an improved MB layer rate control...
In this paper we proposed a new method for pedestrian detection in images and videos. Our method uses a sliding window to search through images. In order to extract the features, each window is divided into overlapping cells and features are extracted from them. The feature that we extracted to describe each window is based on analysis of gradient distribution of each cell. After gradient distribution...
In this paper, we propose a new model for 3-car interactive risky behavior of vehicles travelling in front and behind of a driver (overtaken) car. Following distance of vehicles moving in front and at rear end of the car in question plays an important role for overtaking scenario. Moreover, the distance between the car in front and the vehicle following it should be sufficiently long for preventing...
An automated processing system of brain magnetic resonance (MR) images is presented with application to normal versus glioma diagnosis. It exploits lobe asymmetry to distinguish the normal and abnormal brain MR images. Each MR image is first processed to emphasize edges before splitting it into right lobe and left lobe components. These are transformed into one-dimensional signals and the corresponding...
Here, we describe a method that detects vehicle(s) approaching from behind to a commuting car in the lane in which both are travelling. This research contributes to the development of driver assistance systems by means of informing them about the approaching traffic from behind and warn the drivers in case they are drowsy or not alert and the driving conditions are hazardous. We use the image pairs...
In this paper, we present an improved multi-pass true motion estimation algorithm for frame rate up-conversion. In the proposed motion estimation algorithm, the motion vectors of different objects which are parted with depth information will be refined respectively. Therefore, more accurate pixel¡Vbased motion vector can be obtained which causes the performance of Frame Rate Up-Conversion (FRUC)....
Different conditions, such as occlusions, changes of lighting, shadows and rotations, make vehicle type classification still a challenging task, especially for real-time applications. Most existing methods rely on presumptions on certain conditions, such as lighting conditions and special camera settings. However, these presumptions usually do not work for applications in real world. In this paper,...
This paper proposes a DCT analysis-based adaptive spatial deblocking algorithm to reduce the block discontinuity. We analyze the properties of the decoded one dimensional DCT coefficients. Based on this analysis, we utilize two adjacent vectors to classify the vector containing block boundary into three models. Then, for each model, we apply different filters according to the local properties. Simulation...
We propose a pixel prediction algorithm, which learns a regression function corresponding to each context. A context refers to a group of pixels, that have similar correlations with its neighboring pixels. We propose to form a pixel's feature vector by its neighboring pixels' ratios, so that they better capture the pixel properties described by the regression weights. Then we use K-means clustering...
Motion Compensated Frame Interpolation addresses the tribulations of defective motion vectors that cause visual artifacts but cannot be detected by high residual energy or bidirectional prediction difference. A correlation-based motion vector processing method is proposed to detect those unreliable motion vectors by explicitly considering motion vectors correlation in the motion vector reliability...
Objective of this paper is to categorize aerial images into two classes: images with manmade structures and natural scene images. A novel self-assessed three-stage feature extraction method is presented here which includes extracting edges from the input gray image, applying Gabor filter to compute Gabor energy feature and wavelet decomposition technique to extract the feature vector of computationally...
Detection and elimination of the shadows of moving objects in video sequences have been one of the major challenges in tracking applications. Since moving shadows can't be removed from foreground by background subtraction methods, they lead to confusion and error in moving object tracking. In this paper, we propose a novel classification method based on hierarchical mixture of experts learning for...
In this Paper, we introduce a new method for automatic recognition and classification of prostate cancer biopsy images based on Gleason grading system. The introduced algorithm combines features from wavelet transform and fractal analysis domains. Biopsy images are pre-processed prior to features extraction using effective image processing algorithms to analyze textural complexity in terms of RGB...
A method in Curvelet transformation for human detection is proposed in this paper. First, the curvelet coefficient was obtained by conducting the second curvelet transform for images. Then several statistical characteristics were computed from each sub-band coefficient. Finally, according the possibilities of the statistical features chosen by AdaBoost weak classifiers, some reasonable statistical...
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage structure, RVQ has the ability to densely populate the input space with voronoi cell partitions. The same design concept has yielded good results in the application of image-content classification [1]. Furthermore, the multistage...
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