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Object tracking in real time is one of the most important topics in the field of computer Vision. The work undertaken in this dissertation is mainly focused on development of a reliable and robust real time tracking system that can track the object of interest in the video acquired from a stationary or moving camera. The proposed algorithm is a real time algorithm that operates in 25 frames per second...
Image Histogram is useful in wide range of applications, it shows the image intensity distribution which is used in many image processing techniques. The processing time is very critical in real time applications, so the optimized and robust techniques are preferred. This paper is discussing a simple method for calculating histogram of the image with sampled Histogram which is similar to the histogram...
Usage of multi-step segmentation for near-duplicate image recognition is investigated. The search pattern based on the rank distributions of the brightness clusters cardinality is suggested. Experimental results on the near-duplicate image recognition based on the application of the suggested search pattern are given. It is shown that the use of a multi-step segmentation and rank distributions of...
- Plants play an important role in both human life and other lives that exist on the earth. Due to environmental deterioration and lack of awareness, many rare plant species are at the margins of extinction. Despite the great advances made in botany, there are many plants yet to be discovered, classified, and utilized; unknown plants are treasures waiting to be found. Leaf classification and recognition...
This paper proposes a novel scheme to save the usage of ink or toner by an approximate-K algorithm for color printers. Existing printers use the mixtures of three color toners(C, M and Y) to print all the pixels for color images, and it makes color printing cost 4-4.5 times more expensive than monochromic printing. Since human eyes are not sensitive to distinguish neighboring colors in the color space,...
Identifying events in sports video offers great potential for advancing visual sports coaching applications. In this paper, we present our results for detecting key events in a tennis match. Our overall goal is to automatically index a complete tennis match into all the main tennis events, so that a match can be recorded using affordable visual sensing equipment and then be automatically indexed into...
Texture analysis plays a vital role in remotely sensed image classification as every pixel is going to be classified based on the collective pixel values of neighborhood. The result thus obtained gives increased classification accuracy. In this paper, a modified texture model obtained by modifying Multivariate Local Binary Pattern (MLBP) texture model is used for classification in remotely sensed...
Face segmentation is an important processing step in a typically face-based person identification system. This paper presents a modified K-means clustering and fusion approach for face region extraction from colorful images of video sequences. It is based on L*a*b* color space analysis and consists of three processing steps: color number estimation, color region clustering, and face region post processing...
In this paper a method for detecting semantic concepts in soccer video based on Bayesian Belief Network (BBN) classifier is proposed. In most broadcast soccer videos, replays succeed excitement clips. Replays often stand between two successive logos. Here neural network learning is used to detect logos. Events such as close-ups of players, close-ups of referees, staple line in corner point, spectators...
To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher...
Image enhancement is one of the most important techniques in digital imaging processing fields. Traditional global histogram equalization usually causes excessive contrast enhancement while local histogram equalization may cause block effect. To overcome these problems, a new method for image contrast enhancement is developed. The novelty is that the weighted average of histogram equalization and...
Malaysia has been recognized as one of the twelve nations endowed with rich biodiversity. Such huge number of species in the rain forest and sea are an important asset that need to be properly documented. Responding to these important needs, we have designed and evaluated a content based image retrieval system catered for marine life images. This paper investigates the effectiveness of various low...
In this paper, we propose a new local tone mapping (TM) algorithm, which combines luminance compression function with an adaptive color saturation control parameter. The luminance of the radiance map is decomposed by a bilateral filter and compressed by the modified luminance compression function. To generate color channels of the tone mapped image, we use color ratios and color saturation control...
For producing a single high dynamic range image (HDRI), multiple low dynamic range images (LDRIs) with different exposures are used. In high dynamic range imaging, a moving object in a set of LDRIs causes the ghost effect in a final HDRI. In this paper, we propose a ghost removal method based on histogram information. Object motion is detected by comparing ranks of intensity between LDRIs, and then...
This paper presents a method for moving objects tracking in complicated areas based on features fusion and mean shift algorithm. Primary mean shift algorithm is only based on colour feature, and has a suitable performance especially in partial occlusions. However, primary mean shift algorithm would fail to track in some conditions. This paper exhibits a method to solve mean shift algorithm problems...
Matching face image under assorted lighting conditions is a challenging task in a face recognition system (FRS). The feature extraction method used in Local Binary Pattern (LBP) fails in detecting the eye position and it is less sensitive to noise in uniform image regions. This paper proposes an Advanced Ternary Pattern (ATP) feature set to overcome these issues. The issue on noise sensitivity in...
Shot boundary detection is a field of research of video processing. It aims to automatically detect the transition between the shots in the digital video. In this paper, a new video cut transition detection algorithm is presented by using Hilbert transform and Gray level co-occurrence matrix (GLCM). Texture features are extracted from the GLCM and the corresponding distance measure between the adjacent...
Target recognition is of great importance for information extraction from high resolution remote sensing image. As an important kind of man-made objects, ship recognition is a key point to many applications, such as vessel monitoring and marine traffic. As spatial relationship is invariant to topology change, a method of ship recognition from high resolution remote sensing imagery aided by spatial...
This contribution deals with the testing and selection of methods and algorithms for the automatic video image (or visual signal) segmentation. The aim of this work has been to select a reliable and fast method for visual signal segmentation, which can be used in the system for audio-visual automatic TV broadcast transcription.
In this paper, image enhancement is considered as an optimization problem and improved PSO(Particle Swarm Optimization) is used to solve it. Also in it, parameterized transformation function is used, which uses global and local information of the image. And an objective criterion for measuring image enhancement — taking fully consideration of the entropy of the image and edge information — is proposed...
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