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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
This paper presents a novel approach of video fire detection by the features of fire extracted in radiant energy domain. Firstly, a fire color model in YCbCr color space is applied to extract fire-colored pixels as candidate regions of fire. Secondly, we convert the color space of the candidate regions into radiant energy domain through camera calibration in advance and model six features of fire...
Either any of the current global or non-local stereo matching algorithms cannot be good enough to show both matching accuracy and calculation efficiency during the matching processing, especially while there are less texture regions or the images are captured from real scene. Therefore, the goal of our research is to break current bottleneck of stereo matching in aspects of the precision and speed,...
In this paper, we propose an adaptive template for semantic labeling of indoor scene objects and estimating their oriented bounding facets (OBFs). The proposed adaptive template encodes prior geometric information of objects based on statistics of the training images. Given an input image, we utilize the adaptive template on the detected bounding boxes to initialize the raw labeling and OBF estimation...
Accurate video object segmentation is still a difficult task so far due to the following reasons: the inseparable color between foreground and background (F/B) scenes is hard to segment only by color model, Occlusion/disocclusion caused by large movement, new exposed regions and topology change often breaks the continuity of video, Lastly, accurately building color model plays a critical role in obtaining...
Compositing is one of the most critical techniques in various aspects such as movie production and computer graphics. When images have complex textures, existing color based methods require exhaustive training samples to achieve plausible compositing results. In this paper, we propose a scene-adaptive color transfer model with an application for image compositing. We extract foregrounds from the source...
To improve remote sensing image classification precision, we propose a novel method which is based on super pixel and adaptive weighted K-Means. First, super pixel segmentation algorithm is used to divide input images into irregular blocks which remain their semantic information and boundaries. And then, SIFT, GIST, Census, Gabor, and Color histogram, and many other types of features are extracted...
Individual's expression on face is the most fatal factor to affect the quality of group photo. It is a laborious task to synthesis a perfect group photo by using current photo editing software. An automatic perfect group photo synthesis algorithm is proposed in this paper by judging and replacing the face with good expression. This algorithm implements in four steps. First, faces are recognized in...
Object co-localization is a recently proposed vision problem to jointly localize the target object in a collection of images. The main practical challenge for co-localization is the existence of noisy images, in which the target object may be absent. Previous study relied on a prior estimate of the number of noisy images given by human. However, this prior knowledge would be somewhat too strong in...
The Total Least Squares (TLS) is a denoising approach to take into the small system perturbations, and to restore the noisy images through a linear combination of the image patches. It can handle not only additive noise but also mixture noise. However, it suffers from high computational complexity and low efficiency. To this end, this paper proposes a grid-based denoising algorithm to speed up the...
In this paper, we present a five-part body model to recognize gestures made by Chinese traffic police in complex scenes for driver assistance systems and intelligent vehicles. Unlike most previous methods which require a training stage or a 3D measuring device to construct the body part appearance model, we propose to use the max-covering scheme to learn a five-part body model in an automatic way...
Atmospheric turbulence can cause the image degraded with blur and distortion. These make the image reconstruction big challenges. In order to correct pixel distortion and reduce blur in the turbulence degraded videos, a novel video restoration algorithm based on low-rank decomposition is proposed. First it analyzes the characteristics of atmospheric turbulence degradation. Next, according to the low-rank...
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