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In order to improve the efficiency of color edge detection, a novel color image edge detection method based on Interval type-2 fuzzy system (IT2FSs) is presented in this paper. In the proposed method, the morphological gradient filter is used on the original images first. After that the IT2FSs edge detector is applied in each channel of the RGB color space. The proposed method is applied over a database...
With the advent of various image processing tools, images can be easily counterfeited or corrupted. Digital image watermarking has emerged as an important tool for protection and authentication of digital multimedia content. This paper presents a robust DCT-based blind digital watermarking scheme for still color images. RGB color space has been used to decompose the color cover image into three channels...
We propose a novel approach to segment hand regions in egocentric video that requires no manual labeling of training samples. The user wearing a head-mounted camera is prompted to perform a simple gesture during an initial calibration step. A combination of color and motion analysis that exploits knowledge of the expected gesture is applied on the calibration video frames to automatically label hand...
Recent technical advances in Unmanned Aerial Vehicles (UAV) made a realm of applications possible. In this paper we focus on the application of following a walking pedestrian in real-time, using optimised pedestrian detection and object tracking. For this we use an on-board embedded system, offering an optimal ratio of computational power and weight. We extend the commonly used ground plane estimation...
Our paper proposes a novel method for fire detection in riot videos acquired with handheld cameras and smart-phones. This is a typical example of computer vision in the wild, where we have no control over the data acquisition process, and the quality of the video data varies considerably. We propose a novel spatial model for fire, based on Gaussian mixtures and on color adjacency in the visible spectrum...
The ability to characterize a film, in terms of its narrative and style, is becoming a necessity especially for developing personal video recommendation systems to better deliver on-demand Internet streaming media. Among the set of identifiable stylistic features which play an important role in the film's emotional effects, the use of Over-the-shoulder (OtS) shots in movies is able to convey a big...
We address the problem of human detection from heavy mobile machinery and robotic equipment operating at industrial working sites. Exploiting the fact that workers are typically obliged to wear high-visibility clothing with reflective markers, we propose a new recognition algorithm that specifically incorporates the highly discriminative features of the safety garments in the detection process. Termed...
Panoramic image mosaic is a technology to match a series of images which are overlapped with each other. Panoramic image mosaics can be used for different applications. Image mosaic has important values in various applications such as photogrammetry, computer vision, remote sensing image processing, medical image analysis and computer graphics. Image mosaics also can be used in moving object detection...
In water treatment processes, the individual unit operations are complex, highly non-linear and poorly understood. Whilst many models have been developed to improve process understanding these are rarely in a form easily exploited by the control engineer. Attempts to improve the performance of water treatment works through the application of improved control and measurement have had variable success...
In any public gathering, to ensure the safety of the people during or after any kind of natural or man-made calamities, counting the number of people in a crowd is of paramount importance. In cases of unpredictable environments where occlusion, shadows, varied illumination and multiple objects in the background persists, many algorithms fail to give out accurate results. In this paper, to overcome...
Nowadays the big challenge in simultaneous localization and mapping (SLAM) of mobile robots is the creation of efficient and robust algorithms. Big amount of SLAM methods use computer vision for extraction of unique environment features from camera images (feature-based approach). In some cases, artificial landmarks are being used to simplify environment markup (landmark-based approach). In this paper...
Finding borders of interests in both normal and abnormal images might be helpful for physician to make decision of an image being normal or abnormal. Also, in some points instead of entire images these detected borders can be considered for processing. In this paper, the author proposed the Fisher Transform Method (FTM) as edge detection method. FTM increases gradient of endoscopy images and then,...
Analyzing and interpreting video is a growing topic in computer vision and its applications. This paper mainly contributes to the Color Space-Time Interest Points (CSTIP) extraction and detection. We propose a new method for detection of moving objects. Two main steps compose the proposed method. First, we suggest applying the algorithm of the detection of Color Space-Time Interest Points (CSTIP)...
We present two approaches to extract regions from structured edge detection. While the state-of-the-art algorithm based on globalized probability of boundary (gPb) generates a hierarchical region tree, it entails significant computational load. In this work, we exploit an efficient algorithm for structured edge prediction to extract regions. To generate high quality regions, we develop a novel algorithm...
Understanding how human emotion is evoked from visual content is a task that we as people do every day, but machines have not yet mastered. In this work we address the problem of predicting the intended evoked emotion at given points within movie trailers. Movie Trailers are carefully curated to elicit distinct and specific emotional responses from viewers, and are therefore well-suited for emotion...
Pedestrian detection exhibits important application value in driver assistance systems, The detection performance often suffers from the various appearances of pedestrians, the illumination changes and complex background. Aiming at solving these challenges, in this paper, first, a new color moments feature is presented to describe the local similarity structure of pedestrians, which reduces the influence...
In the last few decades, selective visual attention has been extensively studied for its promising contributions to computer vision applications. Many different models have been proposed to compute visual saliency, which can be coarsely formulated as computational or psychophysical. Most existing methods are based on bottom-up mechanism, an automatic human behavior to guide gaze allocation. And low...
This paper presents the detection and localization methods of entrance and staircase markers for the team E-Mobile in TechX Challenge 2013. Autonomous vehicles are required to detect and locate traffic cones beside the indoor entrance and staircase. One big challenge is from the unpredictable lighting conditions and environment. Different practical techniques such as color space selection, segmentation,...
Text detection in scene images has gained widespread interests. A notable work, which is the Stroke Width Transform (SWT), has been attracting much interests due to its simplicity and efficiency. However, the SWT has difficulty in situations such as blur, low contrast, and illumination change images since it highly relies on the outcome from the edge detector. In this paper, a novel method is proposed...
Pedestrian tracking is becoming increasingly important for intelligent vehicles to improve the safety on road. Vision based pedestrian tracking with moving cameras faces notorious challenges. The classical background subtraction technique in surveillance applications is no longer applicable for Advanced Driver Assistance Systems (ADASs). In this paper, we propose a vision based pedestrian tracking...
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