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The society's concern about safety is growing every day and with it the demand for intelligent surveillance systems with the minimal human intervention possible. In this work we identify suspicious events that could take place in a parking lot based on infrared imagery. The object segmentation process is performed using a dynamic background-subtraction technique which robustly adapts detection to...
In a recent study, fingerprint data was collected across six different force levels. A total of 8,877 slap samples were ground truthed, and subsequently processed using a commercially available fingerprint segmentation tool. This paper delves deeper into understanding segmentation errors across the force levels. Out of the 8,877 slaps, 370 slaps failed to segment. In order to understand why there...
We propose a method for interactive modeling of objects and object relations based on real-time segmentation of video sequences. In interaction with a human, the robot can perform multi-object segmentation through principled modeling of physical constraints. The key contribution is an efficient multi-labeling framework, that allows object modeling and disambiguation in natural scenes. Object modeling...
This paper presents a new fully automatic method for segmenting upright people in the images. Is is based on the efficient graph cut segmentation. Since colour and texture prevent from discriminating this particular class, silhouette shape is used instead. The graph cut is guided by a non-binary template of silhouette that represents the probability of each pixel to be a part of the person to segment...
The general configuration of body is a valuable cue for human identification, which is ignored by the existing approaches. In this paper, we present an approach for human identification by using body prior and the generalized Earth Mover's Distance (EMD). The common knowledge that a pedestrian is composed of upper body and the lower one is employed as a body prior. To achieve more robust body segmentation,...
Mine vehicles are a leading cause of mining fatalities. A reliable anti-collision system is needed to prevent vehicle-personnel collisions. The proposed collision detection system uses the fusion of a three-dimensional (3D) sensor and thermal infrared camera for human detection and tracking. In addition to a thermal camera, a distance sensor will provide depth information and allow the calculation...
Iris recognition is very essential in human identification. It gets more attention in human face recognition. There are several proposals to develop systems that operate in the visible wavelength and in less constrained environments. These imaging conditions engender acquired noisy artefacts that lead to severely degraded images, making iris segmentation a major issue. Having observed that existing...
We propose a novel method to evaluate table segmentation results based on a table image ground truther. In the ground-truthing process, we first extract connected components from a given table image and connect them into an atom graph with weighed edges. Edge weight takes neighboring connected components' size similarities and distances into consideration. Then the ground truther semi-automatically...
This paper presents a novel solution toward the accurate and automatic cartilage segmentation with multi-contrast MR images based on pixel classification. The previous pixel classification based works for cartilage segmentation only rely on the labeling by a trained classifier, such as support vector machines (SVM) or k-nearest neighbors. However, these frameworks do not consider the spatial information...
We propose a novel method, called segmentation by temporal detection integration (STDI), to improve the segmentation results of background subtraction. The STDI applies split and merge algorithms forwardly and backwardly to obtain appropriate region segmentations based on the integration of the temporal detections across frames. The proposed scheme can be applied to human detection and tracking to...
Seabed pockmarks are of great interest to geologists and the marine geotechnical community. Identifying and mapping pockmarks rendered in multi-beam bathymetry data is an important but expensive manual process. In this paper, a new Machine Learning approach to automating the task is presented. Useful, low-dimensional feature vectors yielding very good classification accuracies are established. Overall...
In computer vision research, object detection based on image processing is the task of identifying a designated object on a static image or a sequence of video frames. Projects based on such research works have been widely adopted to various industrial and social applications. The fields to which those applications applies includes but not limited to, security surveillance, intelligent transportation...
Human body segmentation is a critical module in video-based activity recognition (AR) because it defines the image area necessary and sufficient for the follow-up modules like feature extraction. Existing methods often involve modeling of the human body and/or the background, which normally requires extensive amount of training data and cannot efficiently handle changes over time. Recently, active...
Optical character recognition (OCR) is a traditional task in image processing and pattern recognition. In recent years, some new technologies of character recognition have emerged, which greatly improved the effect of OCR. As the foundation of the task of character recognition, whether the characters can be split accurately is the key point. Many researchers have done a lot of work in the car license...
Compared with traditional video summarization approaches, aerial video summarization is a new and challenging issue for its particular characteristics. Aerial video data is a massive data stream, without pre-edit structures such as sports or news video data, lack of camera motion such as zoom and pan. On account of these characteristics, we proposed a novel approach for summarization. First, we extract...
VirtualShave is a novel tool to remove hair from digital dermatoscopic images. First, individual hairs are identified using a top-hat filter followed by morphological postprocessing. Then, they are replaced through PDE-based inpainting with an estimate of the underlying occluded skin. VirtualShave's performance is comparable to that of a human operator removing hair manually, and the resulting images...
As an effort to build an automated and objective system for pathologic image analysis, we present, in this paper, a computerized image processing method for identifying nuclei, a basic biological unit of diagnostic utility, in microscopy images of glioma tissue samples. The complete analysis includes multiple processing steps, involving mode detection with color and spatial information for pixel clustering,...
In this paper we present an integrated approach to COSMO-SkyMed image analysis and classification exploiting integration of different data of the regions of interest, namely urban forestry areas, wide urban parks. The aim is to provide a methodology for exploiting complex data structures built upon multi resolution grids gathering together with optical and X-SAR images, also historical land exploitation...
In this work, we propose a framework to help in the design of the ground-truth for the classification of remote sensing images. It consists first to segment the considered image by means of a level set method and then to extract the segments characterized by the largest numbers of pixels. Afterward, the selected segments are labeled by a human user. Experimental results obtained on a very high resolution...
In this paper we propose a method for pupil localizing in infrared video images. Pupil localizing is the first step toward eye monitoring. The proposed method is based on three phases. At first the pupil is segmented. Pupil segmentation is based on thresholding. The threshold value is estimated on the basis of a genetic algorithm using Otsu thresholding technique. Following, the pupil is modeled....
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