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This paper presents a real-time monitoring of television advertisements using Bow. Frames are the basis of videos, thus an adaptive approach for extracting keyframes is proposed to describe video ads. Since in the BoW framework, the information of local feature points is lost during quantization, color name (CN) feature is introduced in this paper to enhance the discriminative power of visual words...
‘Circle’ and ‘arrow’ traffic lights are both common at intersections in urban road environment. However, existing purely vision based systems are only focus on either ‘circle’ or ‘arrow’ traffic light recognition, which limits their real-world application. In this paper, A novel robust and real-time traffic light recognition system based on hierarchical vision architecture is carefully designed. The...
Modern video surveillance systems need to acquire clear video images of the interest targets in wide range scene, which usually have some difficulties only by changing the cameras focal length when the targets distance and constantly move. In order to obtain details of the features of long distance moving targets in wide range of monitoring scene, we use a panoramic camera and Intelligent Speed Dome...
Image dehazing has always been a focus of wide attention in recent years with great breakthrough. However, the existed algorithms may produce noise and color distortion in the process of image restoration, especially in the sky region. In this paper, an improved dark channel prior algorithm is proposed, which detects the sky firstly and divides the image into sky region and nonsky region, and then...
Caption texts in news video highly summarize the related news story and can be used for effective retrieval. This paper presents an effective caption location method based on edge detection and an improved caption segmentation method combined with Otsu and K-means clustering algorithm. Experiment results show that the caption location method performs well in the news video and the caption segmentation...
In this paper, a reliable pixel-based foreground-background segmentation technique for detecting object(s) of interest (OOI) from video sequence captured by a fixed camera is proposed. OOIs, used for further tracking or positioning applications, should be detected accurately from those moving (or still) objects even under variable illumination and the corresponding background model need to update...
Classical Camshift algorithm (CCA) has been widely used in the fields of visual tracking, image smoothing and segmentation currently. In view of the fact that CCA is easily affected by the object which is similar to the tracking target in hue, an improved Camshift algorithm is presented in this paper. In this algorithm, the histogram equalization is applied simultaneously to R, G, B channels in order...
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented...
Background modeling plays a key role of event detection in intelligent surveillance systems. Gaussian Mixture Model (GMM) is a popular background modeling method in latest surveillance systems. However, the model will result in object fragmentation if the objects' color is likely to its background. In our paper, we present a different mechanism which compares the area of original pictures with background...
A 3D model obtained from stereo cameras has a massive amount of data, and the structure of its points is so much simple with only the spatial information and colors. In this paper, a novel method of segmentation on the curve surface is proposed. Such segmentation method has applications in burn area estimation, texture mapping and local deformation. The segmentation method utilizes a novel region-growth...
In this paper, a novel visual tracking algorithm that uses the target salient confidence (TSC) is proposed. Two contributions are summarized as follows. First, we put forward a novel target salient confidence (TSC) model which combines the static saliency map (SSM) based on the selective visual attention model, motion attention map (MAP) and the target prior confidence (TPC). Second, we propose to...
The unsharp masking filter is an efficient and effective algorithm frequently applied in image contrast enhancement applications. The principle is based on sharpening object edges by appending a scaled high-pass version of the image to the original. The quality of the processed image is largely dependent on the characteristics of the high-pass signal and the scaling factor. Thus, optimal choices of...
A new method for color image denoising is presented. This work considers three color channels as a whole by using quaternion diffusion. We use concept of topological sensitivity analysis. The diffusion coefficients are computed by a proposed cost function of the Topological Derivative. Finally, the effectiveness of this method for color image restoration is verified by several numerical experiments...
The images of outdoor scenes obtained in haze, fog and other weather days are usually have poor contrast and color fidelity. In this paper, in order to effectively improve the degraded image in haze quality, reduce the effect of the haze to outdoor traffic video monitoring systems, we analyzed the image degradation reason and fuzzy mechanism of image in haze. From the viewpoints of image restoration...
This paper firstly presents an image quality objective assessment method on the base of color moments. Then by analyzing the statistical characteristics of the subjective assessment results, this paper proposes a non-linear calibration algorithm using the worst image quality video sequence as the reference to separate the score interval of objective assessment. Combined with the similarity metric...
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