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This paper studies the scale we choose for boundary detection. The common multi-scale method for detecting boundary requires the users to compute several scales of boundary on the whole image, train the coefficients as the weight of each scale's information, and combine the multi-scale boundary using the training weight. It has been proposed that human visual system evolved to be able to change the...
This paper presents a novel multiple object tracking framework based on multiple visual cues. To build tracks by selecting the best matching score between several detections, a set of probability maps is estimated by a function integrating templates using a sparse representation and color information using locality sensitive histograms. All people detected in two consecutive frames are matched with...
Nowadays, many lectures and presentations are recorded and broadcasted for teleteaching applications. When no human camera crew is present, the most obvious choice is for static cameras. In order to enhance the viewing experience, more advanced systems automatically track and steer the camera towards the lecturer. In this paper we propose an even more advanced system that tracks the lecturer while...
The idea of this paper is based on three key points: The first is to propose a method allowing finding possible angles to rotate a Haar-Like feature without destroy its sides. The tangent of each angle equal to an rational number i.e. each angle equal to acrtan(Y/X) where Y and X are integers. The second point is manifested by the use of this rational number to determine the pixels forming the sides...
Radiation thermometry is one of the important ways to obtain target temperature, which mainly includes dual-waveband colorimetric temperature measurement. The precision is limited by atmospheric transmittance and the air path radiation when infrared signature of a target measured in the atmosphere. To increase the precision, a correction-based dual-waveband color comparison thermometric method is...
Edge detection is an important task in image processing and becomes more complex for the colour image which provides more information in comparison to the gray image. In this paper it will be presented a colour edge detection approach based on the product of multiscale wavelet transform. The use of the product of multiscale transform improves the localization of detected edges comparing to the one...
The completeness of data is vital to data quality. In this demo, we present iCoDA, a system that supports interactive, exploratory data completeness analysis. iCoDA provides algorithms and tools to generate tableau patterns that concisely summarize the incomplete data under various configuration settings. During the demo, the audience can use iCoDA to interactively explore the tableau patterns generated...
Accurate and up-to-date inventories of lighting poles are of interest to energy companies, beneficial for the transition to energy-efficient lighting and may contribute to a more adequate lighting of streets. This potentially improves social security and reduces crime and vandalism during nighttime. This paper describes a system for automated surveying of lighting poles from street-level panoramic...
In this paper we propose a method to add scale-invariance to line descriptors for wide baseline matching purposes. While finding point correspondences among different views is a well-studied problem, there still remain difficult cases where it performs poorly, such as textureless scenes, ambiguities and extreme transformations. For these cases using line segment correspondences is a valuable addition...
We propose an interactive video segmentation system built on the basis of occlusion and long term spatio-temporal structure cues. User supervision is incorporated in a superpixel graph clustering framework that differs crucially from prior art in that it modifies the graph according to the output of an occlusion boundary detector. Working with long temporal intervals (up to 100 frames) enables our...
In elite sports, nearly all performances are captured on video. Despite the massive amounts of video that has been captured in this domain over the last 10–15 years, most of it remains in an “unstructured” or “raw” form, meaning it can only be viewed or manually annotated/tagged with higher-level event labels which is time consuming and subjective. As such, depending on the detail or depth of annotation,...
Systems for aerial vehicles have to face tight constraints on weight, space, and energy consumption due to limited payload and energy resources of aircrafts. This leads to the use of optimised, application-specific components.
Content based image retrieval (CBIR) is a promising way to address image retrieval based on the visual features of an image like color, texture and shape. Every visual feature will address a specific property of the image, so the state of the art focuses on combination of multiple visual features for content based image retrieval. In this paper we have devised a content based image retrieval system...
We propose a novel tracking algorithm based on insect vision inspired particle filter. In a cluttered moving background, flying insects demonstrate extraordinary capability in locating and detecting visual objects. Our tracker introduces an Elementary Motion Detector (EMD) which is deduced from the neuronal computational model of the way biological ommateum processing information, and integrates the...
Occlusions are common in real world scenes and are a major obstacle to robust object detection. In this paper, we present a method to coherently reason about occlusions on many types of detectors. Previous approaches primarily enforced local coherency or learned the occlusion structure from data. However, local coherency ignores the occlusion structure in real world scenes and learning from data requires...
We propose two methods for detecting transparent text in images and recovering the background behind the text. Although text detection in natural scenes is an active research area, most current methods are focused on non-transparent text. To detect transparent text, we developed an adaptive edge detection method for edge-based text detection that can accurately detect text even under low contrast,...
Local Binary Pattern (LBP) feature has attracted increasing interest in pedestrian detection tasks, but it requires high dimensionality to gain promising performance. To address this problem, we make three main contributions. First, Center-Symmetric Local Binary Patterns (CSLBP) feature is introduced to pedestrian detection. It's the first time to extract CSLBP operator in an approach similar to basic...
An efficient approach for the sharpening of color images is proposed in this paper. For this, the image to be sharpened is first transformed to the Hue, Saturation, and Value (HSV) color model, and then only the channel of Value will be used for the process of sharpening while the other two channels are left unchanged. We then apply a proposed edge detector and low-pass filter to the channel of Value...
A model for detecting contours in natural images is presented by combining the visual perceptual mechanisms and machine learning. The surround stimuli will enhance the response of the central stimulus if they can form a precise spatial configuration. On the other hand, surround inhibition will reduce the responses to homogeneous elements. Facilitation and inhibition activities in the primary visual...
3D reconstruction from multiple cameras is challenging in some environments because of ambiguous matches between similar-looking features. These ambiguities can be resolved by projecting a structured light pattern into the scene, and detecting points in the light pattern in each image. Robust detection of the structured light pattern is hard because of variations in object colour and lighting within...
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